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  • Data  (247,824)
  • 2005-2009  (183,653)
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Year
  • 1
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    δ13C(organic), C/N mass ratios and %TOC for Continent Ridge core CON01-603-5 (2006)
    Deutsches GeoForschungsZentrum GFZ
    Details
    Publication Date: 2021-08-16
    Description: Abstract
    Description: C/N mass ratios remain constant throughout MIS 3 and into MIS 2, with values between 6.3 and 8.9, indicating no significant terrestrial input of organic matter (Fig. 3). Low %TOC values during the interstadial increase from 0.4 to 0.7 between 57.8 and 43.7 kyr BP with a concurrent gradual increase in δ13C(organic) amid oscillations between −23.2‰ and −26.1‰ (Fig. 3). %TOC falls to 0.4 between 40.9 and 39.4 kyr BP whereas δ13C(organic) remains high at c. 24‰ with a peak value of −23.6‰ at 39.4 kyr BP. The subsequent two-stage increase in %TOC from 39 to 37.9 kyr BP and between 37.3 and 36.9 kyr BP is marked by a period of δ13C(organic) lowering to c. −26.6‰ before δ13C(organic) increases after 37.9 kyr BP to −24.8‰, values comparable to those prior to the %TOC decline at 40.9 kyr BP.
    Keywords: Vereshchagin Long Cores Expedition 2001 ; R/V Vereshchagin ; δ13C ; age (calendar years) ; AMS ; calculation ; Carbon/Nitrogen ratio ; correlation of paleointensity records ; total organic carbon ; AMS
    Language: English
    Type: Dataset , Dataset
    Format: 400 Datapoints
    Format: text/tab-separated-values
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    DATA GFZ
  • 2
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    IPCC-DDC_HADCM3_SRES_A2c: 240 YEARS MONTHLY MEANS Hadley Centre for Climate Prediction and Research - UK Met Office (2003)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The SRES data sets were published by the IPCC in 2000 and classified into four different scenario families (A1, A2, B1, B2). SRES_A2 storyline describes a very heterogeneous world with the underlying theme of self-reliance and preservation of local identities. It results in this scenario a continous increasing population together with a slower economic growth and technological change. The Hadley Centre Circulation Model is a 3-dim AOGCM described by (Gordon et al., 2000 and Pope et al., 2000). The atmospheric component has a 19 levels horizontal resolution, comparable with spectral resolution of T42, while the ocean component has a 20 levels resolution. HADCM3(http://www.metoffice.gov.uk/research/modelling-systems/unified-model/climate-models/hadcm3 ) The changes of anthropogenic emissions of CO2, CH4, N2O and sulphur dioxide are prescribed according to the above mentioned scenario. These data belongs to a set of three ensemble runs, with the HADCM3-model, using the SRES_A2 scenario. They provide monthly averaged values of selected variables for the IPCC-DDC. HadCM3_SRES_A2b and HadCM3_SRES_A2c follow the same experimental design and historical plus future forcings as HadCM3_SRES_A2 (Johns et al. 2003) but starting from initial conditions taken respectively 100 years and 200 years further into the HadCM3 control simulation.
    Type: experiment
    Format: GRIB
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  • 3
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    IPCC-AR4 MPI-ECHAM5_T63L31 MPI-OM_GR1.5L40 SRESA1B run no.3: atmosphere 6 HOUR values MPImet/MaD Germany (2004)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The data represent 6 hourly values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk) The A1B scenario is the part of the A1 family which describes a balance across all energy sources. The experiment has been initialized in year 2000 of the 20C_3 run and continues until year 2100 with anthropogenic forcings (CO2, CH4, N2O, CFCs, O3 and sulfate) according to A1B. The experiment is extended until year 2200 with all concentrations fixed at their levels of year 2100 (stabilization experiment). Datasets with monthly average values are also available. Technical data to this experiment: The experiment is using ECHAM5.2.02a coupled to MPI-OM Vers. 1.0 GR1.5L40 and was run on a NEC-SX (hurrikan). The output from the model run: hurrikan.dkrz.de: /ut/k/k204097/EXP000/run010
    Type: experiment
    Format: GRIB
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  • 4
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    Unknown
    IPCC-AR4 MPI-ECHAM5_T63L31 MPI-OM_GR1.5L40 SRESB1 run no.1: atmosphere 6 HOUR values MPImet/MaD Germany (2004)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The data represent 6 hourly values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk) The B1 scenario describes a storyline with rapid change in economic structures toward a service and information economy, with reductions in material intensity and the introduction of clean and resource-efficient technologies. The experiment has been initialized in year 2000 of the 20C_1 run and continues until year 2100 with anthropogenic forcings (CO2, CH4, N2O, CFCs, O3 and sulfate) according to B1. The experiment is extended until year 2200 with all concentrations fixed at their levels of year 2100 (stabilization experiment). Datasets with monthly average values are also available. Technical data to this experiment: The experiment is using ECHAM5.2.02a coupled to MPI-OM Vers. 1.0 GR1.5L40 and was run on a NEC-SX (hurrikan). The output from the model run: hurrikan.dkrz.de: /ut/k/k204098/EXP000/run013
    Type: experiment
    Format: GRIB
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  • 5
    facet.materialart.
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    IPCC-DDC_HADCM3_SRES_A2b: 140 YEARS MONTHLY MEANS Hadley Centre for Climate Prediction and Research - UK Met Office (2003)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The SRES data sets were published by the IPCC in 2000 and classified into four different scenario families (A1, A2, B1, B2). SRES_A2 storyline describes a very heterogeneous world with the underlying theme of self-reliance and preservation of local identities. It results in this scenario a continous increasing population together with a slower economic growth and technological change. The Hadley Centre Circulation Model is a 3-dim AOGCM described by (Gordon et al., 2000 and Pope et al., 2000). The atmospheric component has a 19 levels horizontal resolution, comparable with spectral resolution of T42, while the ocean component has a 20 levels resolution. HADCM3(http://www.metoffice.gov.uk/research/modelling-systems/unified-model/climate-models/hadcm3 ) The changes of anthropogenic emissions of CO2, CH4, N2O and sulphur dioxide are prescribed according to the above mentioned scenario. These data belongs to a set of three ensemble runs, with the HADCM3-model, using the SRES_A2 scenario. They provide monthly averaged values of selected variables for the IPCC-DDC. HadCM3_SRES_A2b and HadCM3_SRES_A2c follow the same experimental design and historical plus future forcings as HadCM3_SRES_A2 (Johns et al. 2003) but starting from initial conditions taken respectively 100 years and 200 years further into the HadCM3 control simulation.
    Type: experiment
    Format: GRIB
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    DATA DKRZ
  • 6
    facet.materialart.
    Unknown
    MODIS_ACDNC Adiabatic Cloud Droplet Number Concentration daily value (2005)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: Cloud droplet number concentration is derived from MODerate Resolution Imager Spectroradiometer (MODIS) data from NASA's Terra platform. The MOD08_D3 daily data (collection 4 processing stream) on a grid of 1x1 degrees is used, which can be downloaded from http://eosdata.gsfc.nasa.gov/daac-bin/MODIS/Data_order.pl. From the joint histrogram of cloud optical thickness (COD) and cloud-top droplet effective radius (CDR) for liquid water clouds, CDNC is diagnosed assuming adiabatic clouds.
    Type: experiment
    Format: NetCDF
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  • 7
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    Climate Simulation with CLM, Scenario B1 run no.1, Data Stream 2: European region MPI-M/MaD (2006)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The experiment CLM_B1_1_D2 contains European regional climate simulations of the years 2001-2100 on a rotated grid (CLM non hydrostatic, 0.165 deg. hor. res., see http://www.clm-community.eu ). It is forced by the first (_1_) run of the global IPCC scenario B1 (EH5-T63L31_OM-GR1.5L40_B1_1_6H), which describes a possible future world with global population peaking in mid-century and rapid change in economic structures towards a service and information economy. An introduction of clean and resource efficient technologies was assumed. In data stream 2 (_D2) the output variables of CLM are stored as time series on a rotated grid. The model region starts at -20.8725/-23.7275 (centre of lower left grid box) with rotated North Pole at 39.25/-162.0 (lat/lon). The number of grid points is 255/241 (lat/lon). The sponge zone (numerically unreliable boundary grid points) of the original model output has been cut off. The regional model variables include two-dimensional near surface fields and soil and atmospheric fields on different layers. The soil fields are simulated on 10 different levels with a maximum depth of 15 meters. The atmospheric fields are given on 6 pressure levels (200, 500, 700, 850, 925 and 1000 hPa). The time interval of the output fields ranges from 1 to 3 hours and includes daily output fields, depending on the respective variable. Please contact sga"at"dkrz.de for data request details. See http://sga.wdc-climate.de for more details on CLM simulations in the context of the BMBF funding priority "klimazwei", some useful information on handling climate model data and the data access regulations. The output format is netCDF, experiment with CLM 2.4.11 on NEC-SX6(hurrikan), raw data: /dxul/ut/k/k204095/prism/experiments/B1_1 , /dxul/prj/ir0264/arch/CLM/prism/experiments/B1_1
    Type: experiment
    Format: NetCDF
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  • 8
    facet.materialart.
    Unknown
    Climate Simulation with CLM, Scenario B1 run no.2, Data Stream 2: European region MPI-M/MaD (2006)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The experiment CLM_B1_2_D2 contains European regional climate simulations of the years 2001-2100 on a rotated grid (CLM non hydrostatic, 0.165 deg. hor. res., see http://www.clm-community.eu ). It is forced by the second (_2_) run of the global IPCC scenario B1 (EH5-T63L31_OM-GR1.5L40_B1_2_6H), which describes a possible future world with global population peaking in mid-century and rapid change in economic structures towards a service and information economy. An introduction of clean and resource efficient technologies was assumed. In data stream 2 (_D2) the output variables of CLM are stored as time series on a rotated grid. The model region starts at -20.8725/-23.7275 (lat/lon in rotated coordinates; centre of lower left grid box) with rotated North Pole at 39.25/-162.0 (lat/lon). The number of grid points is 255/241 (lat/lon). The sponge zone (numerically unreliable boundary grid points) of the original model output has been cut off. The regional model variables include two-dimensional near surface fields, as well as soil and atmospheric fields on different layers. The soil fields are simulated on 10 different levels with a maximum depth of 15 meters. The atmospheric fields are given on 6 pressure levels (200, 500, 700, 850, 925 and 1000 hPa). The time interval of the output fields ranges from 1 to 3 hours and includes daily output fields, depending on the respective variables. Please contact sga"at"dkrz.de for data request details. See http://sga.wdc-climate.de for more details on CLM simulations in the context of the BMBF funding priority "klimazwei", some useful information on handling climate model data and the data access regulations. The output format is netCDF Experiment with CLM 2.4.11 on NEC-SX6(hurrikan) raw data: hpss:/dxul/ut/k/k204095/prism/experiments/B1_2
    Type: experiment
    Format: NetCDF
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  • 9
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    Climate Simulation with CLM, Scenario B1 run no.1, Data Stream 3: European region MPI-M/MaD (2006)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The experiment CLM_B1_1_D3 contains European regional climate simulations of the years 2001-2100 on a regular geographical grid. The data are generated during post processing of the corresponding data stream 2 experiment (CLM_B1_1_D2) of regional climate model runs (CLM non hydrostatic, see http://www.clm-community.eu ). It is forced by the first (_1_) run of the global IPCC scenario B1 (EH5-T63L31_OM-GR1.5L40_B1_1_6H), which describes a possible future world with global population peaking in mid-century and rapid change in economic structures towards a service and information economy. An introduction of clean and resource efficient technologies was assumed. In data stream 3 (_D3) the output variables of CLM data stream 2 and some additionally derived parameters are stored as time series on a regular geographical grid (0.2 degree res.). The transformation has been done via CDO routines. Please note, that none of the variables has been corrected for topographical differences between the two grids. The model domain of data stream 3 covers the European region starting at 34.6/-10.6 (lat/lon, centre of lower left grid box). The number of grid points is 177/238 (lat/lon). For some model variables and additionally derived parameters some statistics on daily, monthly or yearly basis are available. Please contact sga"at"dkrz.de for data request details. See http://sga.wdc-climate.de for more details on CLM simulations in the context of the BMBF funding priority "klimazwei", some useful information on handling climate model data and the data access regulations. The output format is netCDF. Experiment with CLM 2.4.11 on NEC-SX6(hurrikan). raw data: hpss:/dxul/ut/k/k204095/prism/experiments/B1_1 data years 〈 2060: /dxul/ut/k/k204095/prism/experiments/B1_1/outdata/clm/yearnnnn data years 〉 2059: /dxul/prj/ir0264/arch/CLM/prism/experiments/B1_1/outdata/clm/yearnnnn
    Type: experiment
    Format: NetCDF
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  • 10
    facet.materialart.
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    Climate Simulation with CLM, Climate of the 20th Century run no.1, Data Stream 2: European region MPI-M/MaD (2006)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The experiment CLM_C20_1_D2 contains European regional climate simulations of the years 1960-2000 on a rotated grid (CLM non hydrostatic, 0.165 degree hor. resolution, see http://www.clm-community.eu ). The simulations of the 20th century (1960-2000) have been forced by the first (_1_) run of the global 20th century climate (EH5-T63L31_OM-GR1.5L40_20C_1_6H) with observed anthropogenic forcing. In data stream 2 (_D2) the output variables of CLM are stored as time series on a rotated grid. The model region starts at -20.8725/-23.7275 (lat/lon in rotated coordinates; centre of lower left grid box) with an increment of 0.165 degree. The position of the North Pole in the rotated grid is: 39.25/-162.0 (lat/lon). The number of grid points is 255/241 (lat/lon). The sponge zone (numerically unreliable boundary grid points) of the original model output has been cut off. The regional model variables include two-dimensional near surface fields, as well as soil and atmospheric fields on different layers. The soil fields are simulated on 10 different levels with a maximum depth of 15 meters. The atmospheric fields are given on 6 pressure levels (200, 500, 700, 850, 925 and 1000 hPa). The time interval of the output fields ranges from 1 to 3 hours and includes daily output fields, depending on the respective variables. Please contact sga"at"dkrz.de for data request details. See http://sga.wdc-climate.de for more details on CLM simulations in the context of the BMBF funding priority "klimazwei", some useful information on handling climate model data and the data access regulations. The output format is netCDF Experiment with CLM 2.4.11 on NEC-SX6(hurrikan) raw data: hpss:/dxul/ut/k/k204095/prism/experiments/C20_1
    Type: experiment
    Format: NetCDF
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  • 11
    facet.materialart.
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    Climate Simulation with CLM, Climate of the 20th Century run no.1, Data Stream 3: European region MPI-M/MaD (2006)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The experiment CLM_C20_1_D3 contains European regional climate simulations of the years 1960-2000 on a regular geographical grid. The data are generated during post processing of the corresponding data stream 2 experiment (CLM_C20_1_D2) of regional climate model runs (CLM non hydrostatic, see http://www.clm-community.eu ). The simulations of the 20th century (1960-2000) have been forced by the first (_1_) run of the global 20th century climate (EH5-T63L31_OM-GR1.5L40_20C_1_6H) with observed anthropogenic forcing. In data stream 3 (_D3) the output variables of CLM data stream 2 and some additionally derived parameters are stored as time series on a regular grid with a horizontal spacing of 0.2 degree. The model parameters have been transformed onto the regular geographical grid by the CDO routines. Please note, that none of the variables has been corrected for topographical differences between the two grids. The model domain of data stream 3 covers the European region starting at 34.6/-10.6 (lat/lon, centre of lower left grid box) with an increment of 0.2 degree. The number of grid points is 177/238 (lat/lon). For some model variables and additionally derived parameters some statistics on daily, monthly or yearly basis are available. See also http://sga.wdc-climate.de for a list of available parameters. Please contact sga"at"dkrz.de for data request details. See http://sga.wdc-climate.de for more details on CLM simulations in the context of the BMBF funding priority "klimazwei", some useful information on handling climate model data and the data access regulations. The output format is netCDF Experiment with CLM 2.4.11 on NEC-SX6(hurrikan) raw data: hpss:/dxul/ut/k/k204095/prism/experiments/C20_1
    Type: experiment
    Format: NetCDF
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  • 12
    facet.materialart.
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    Climate Simulation with CLM, Scenario A1B run no.1, Data Stream 3: European region MPI-M/MaD (2006)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The experiment CLM_A1B_1_D3 contains European regional climate simulations of the years 2001-2100 on a regular geographical grid. The data are generated during post processing of the corresponding data stream 2 experiment (CLM_A1B_1_D2) of regional climate model runs (CLM non hydrostatic, see http://www.clm-community.eu ). It is forced by the first (_1_) run of the global IPCC scenario A1B (EH5-T63L31_OM-GR1.5L40_A1B_1_6H), which describes a possible future world of very rapid economic growth, global population peaking in mid-century and rapid introduction of new and more efficient technologies with a balance across all energy sources. In data stream 3 (_D3) the output variables of CLM data stream 2 and some additionally derived parameters are stored as time series on a regular geograhical grid (0.2 deg. hor. res.). The transformation has been done via CDO routines. Please note, that none of the variables has been corrected for topographical differences between the two grids. The model domain of data stream 3 covers the European region starting at 34.6/-10.6 (lat/lon, centre of lower left grid box) with an increment of 0.2 degree. The number of grid points is 177/238 (lat/lon). For some model variables and additionally derived parameters some statistics on daily, monthly or yearly basis are available. See also http://sga.wdc-climate.de for a list of available parameters. Please contact sga"at"dkrz.de for data request details. See http://sga.wdc-climate.de for more details on CLM simulations in the context of the BMBF funding priority "klimazwei", some useful information on handling climate model data and the data access regulations. The output format is netCDF Experiment with CLM 2.4.11 on NEC-SX6(hurrikan) raw data: hpss:/dxul/ut/k/k204095/prism/experiments/A1B_1
    Type: experiment
    Format: NetCDF
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  • 13
    facet.materialart.
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    Climate Simulation with CLM, Scenario A1B run no.1, Data Stream 2: European region MPI-M/MaD (2006)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The experiment CLM_A1B_1_D2 contains European regional climate simulations of the years 2001-2100 on a rotated grid (CLM non hydrostatic, 0.165 deg. hor. resolution, see http://www.clm-community.eu ). It is forced by the first (_1_) run of the global IPCC scenario A1B (EH5-T63L31_OM-GR1.5L40_A1B_1_6H), which describes a possible future world of very rapid economic growth, global population peaking in mid-century and rapid introduction of new and more efficient technologies with a balance across all energy sources. In data stream 2 (_D2) the output variables of CLM are stored as time series on a rotated grid. The model region starts at -20.8725/-23.7275 (lat/lon in rotated coordinates; centre of lower left grid box) with rotated North Pole at 39.25/-162.0 (lat/lon). The number of grid points is 255/241 (lat/lon). The sponge zone (numerically unreliable boundary grid points) of the original model output has been cut off. The regional model variables include two-dimensional near surface fields, as well as soil and atmospheric fields on different layers. The soil fields are simulated on 10 different levels with a maximum depth of 15 meters. The atmospheric fields are given on 6 pressure levels (200, 500, 700, 850, 925 and 1000 hPa). The time interval of the output fields ranges from 1 to 3 hours and includes daily output fields, depending on the respective variables. Please contact sga"at"dkrz.de for data request details. See http://sga.wdc-climate.de for more details on CLM simulations in the context of the BMBF funding priority "klimazwei", some useful information on handling climate model data and the data access regulations. The output format is netCDF Experiment with CLM 2.4.11 on NEC-SX6(hurrikan) raw data: hpss:/dxul/ut/k/k204095/prism/experiments/A1B_1
    Type: experiment
    Format: NetCDF
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  • 14
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    Climate Simulation with CLM, Scenario B1 run no.2, Data Stream 3: European region MPI-M/MaD (2006)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The experiment CLM_B1_2_D3 contains European regional climate simulations of the years 2001-2100 on a regular geographical grid. The data are generated during post processing of the corresponding data stream 2 experiment (CLM_B1_2_D2) of regional climate model runs (CLM non hydrostatic, see http://www.clm-community.eu ). It is forced by the second (_2_) run of the global IPCC scenario B1 (EH5-T63L31_OM-GR1.5L40_B1_2_6H), which describes a possible future world with global population peaking in mid-century and rapid change in economic structures towards a service and information economy. An introduction of clean and resource efficient technologies was assumed. In data stream 3 (_D3) the output variables of CLM data stream 2 and some additionally derived parameters are stored as time series on a regular geograhical grid (0.2 deg. hor. res.). The transformation has been done via CDO routines. Please note, that none of the variables has been corrected for topographical differences between the two grids. The model domain of data stream 3 covers the European region starting at 34.6/-10.6 (lat/lon, centre of lower left grid box) with an increment of 0.2 degree. The number of grid points is 177/238 (lat/lon). For some model variables and additionally derived parameters some statistics on daily, monthly or yearly basis are available. See also http://sga.wdc-climate.de for a list of available parameters. Please contact sga"at"dkrz.de for data request details. See http://sga.wdc-climate.de for more details on CLM simulations in the context of the BMBF funding priority "klimazwei", some useful information on handling climate model data and the data access regulations. The output format is netCDF Experiment with CLM 2.4.11 on NEC-SX6(hurrikan) raw data: hpss:/dxul/ut/k/k204095/prism/experiments/B1_2
    Type: experiment
    Format: NetCDF
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  • 15
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    Climate Simulation with CLM, Scenario A1B run no.2, Data Stream 2: European region MPI-M/MaD (2006)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The experiment CLM_A1B_2_D2 contains European regional climate simulations of the years 2001-2100 on a rotated grid (CLM non hydrostatic, 0.165 deg. hor. resolution, see http://www.clm-community.eu ). It is forced by the second (_2_) run of the global IPCC scenario A1B (EH5-T63L31_OM-GR1.5L40_A1B_2_6H), which describes a possible future world of very rapid economic growth, global population peaking in mid-century and rapid introduction of new and more efficient technologies with a balance across all energy sources. In data stream 2 (_D2) the output variables of CLM are stored as time series on a rotated grid. The model region starts at -20.8725/-23.7275 (lat/lon in rotated coordinates; centre of lower left grid box) with rotated North Pole at 39.25/-162.0 (lat/lon). The number of grid points is 255/241 (lat/lon). The sponge zone (numerically unreliable boundary grid points) of the original model output has been cut off. The regional model variables include two-dimensional near surface fields, as well as soil and atmospheric fields on different layers. The soil fields are simulated on 10 different levels with a maximum depth of 15 meters. The atmospheric fields are given on 6 pressure levels (200, 500, 700, 850, 925 and 1000 hPa). The time interval of the output fields ranges from 1 to 3 hours and includes daily output fields, depending on the respective variables. Please contact sga"at"dkrz.de for data request details. See http://sga.wdc-climate.de for more details on CLM simulations in the context of the BMBF funding priority "klimazwei", some useful information on handling climate model data and the data access regulations. The output format is netCDF Experiment with CLM 2.4.11 on NEC-SX6(hurrikan) raw data: hpss:/dxul/ut/k/k204095/prism/experiments/A1B_2
    Type: experiment
    Format: NetCDF
    Location Call Number Expected Availability
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  • 16
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    Climate Simulation with CLM, Climate of the 20th Century run no.2, Data Stream 2: European region MPI-M/MaD (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The experiment CLM_C20_2_D2 contains European regional climate simulations of the years 1960-2000 on a rotated grid (CLM non hydrostatic, 0.165 degree hor. resolution, see http://www.clm-community.eu ). The simulations of the 20th century (1960-2000) have been forced by the second (_2_) run of the global 20th century climate (EH5-T63L31_OM-GR1.5L40_20C_2_6H) with observed anthropogenic forcing. In data stream 2 (_D2) the output variables of CLM are stored as time series on a rotated grid. The model region starts at -20.8725/-23.7275 (lat/lon in rotated coordinates; centre of lower left grid box) with an increment of 0.165 degree. The position of the North Pole in the rotated grid is: 39.25/-162.0 (lat/lon). The number of grid points is 255/241 (lat/lon). The sponge zone (numerically unreliable boundary grid points) of the original model output has been cut off. The regional model variables include two-dimensional near surface fields, as well as soil and atmospheric fields on different layers. The soil fields are simulated on 10 different levels with a maximum depth of 15 meters. The atmospheric fields are given on 6 pressure levels (200, 500, 700, 850, 925 and 1000 hPa). The time interval of the output fields ranges from 1 to 3 hours and includes daily output fields, depending on the respective variables. Please contact sga"at"dkrz.de for data request details. See http://sga.wdc-climate.de for more details on CLM simulations in the context of the BMBF funding priority "klimazwei", some useful information on handling climate model data and the data access regulations. The output format is netCDF Experiment with CLM 2.4.11 on NEC-SX6(hurrikan) raw data: hpss:/dxul/ut/k/k204095/prism/experiments/C20_2
    Type: experiment
    Format: NetCDF
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  • 17
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    Climate Simulation with CLM, Scenario A1B run no.2, Data Stream 3: European region MPI-M/MaD (2006)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The experiment CLM_A1B_2_D3 contains European regional climate simulations of the years 2001-2100 on a regular geographical grid. The data are generated during post processing of the corresponding data stream 2 experiment (CLM_A1B_2_D2) of regional climate model runs (CLM non hydrostatic, see http://www.clm-community.eu ). It is forced by the second (_2_) run of the global IPCC scenario A1B (EH5-T63L31_OM-GR1.5L40_A1B_2_6H), which describes a possible future world of very rapid economic growth, global population peaking in mid-century and rapid introduction of new and more efficient technologies with a balance across all energy sources. In data stream 3 (_D3) the output variables of CLM data stream 2 and some additionally derived parameters are stored as time series on a regular geograhical grid (0.2 deg. hor. res.). The transformation has been done via CDO routines. Please note, that none of the variables has been corrected for topographical differences between the two grids. The model domain of data stream 3 covers the European region starting at 34.6/-10.6 (lat/lon, centre of lower left grid box) with an increment of 0.2 degree. The number of grid points is 177/238 (lat/lon). For some model variables and additionally derived parameters some statistics on daily, monthly or yearly basis are available. See also http://sga.wdc-climate.de for a list of available parameters. Please contact sga"at"dkrz.de for data request details. See http://sga.wdc-climate.de for more details on CLM simulations in the context of the BMBF funding priority "klimazwei", some useful information on handling climate model data and the data access regulations. The output format is netCDF Experiment with CLM 2.4.11 on NEC-SX6(hurrikan) raw data: hpss:/dxul/ut/k/k204095/prism/experiments/A1B_2
    Type: experiment
    Format: NetCDF
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  • 18
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    Climate Simulation with CLM, Climate of the 20th Century run no.2, Data Stream 3: European region MPI-M/MaD (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The experiment CLM_C20_2_D3 contains European regional climate simulations of the years 1960-2000 on a regular geographical grid. The data are generated during post processing of the corresponding data stream 2 experiment (CLM_C20_2_D2) of regional climate model runs (CLM non hydrostatic, see http://www.clm-community.eu ). The simulations of the 20th century (1960-2000) have been forced by the second (_2_) run of the global 20th century climate (EH5-T63L31_OM-GR1.5L40_20C_2_6H) with observed anthropogenic forcing. In data stream 3 (_D3) the output variables of CLM data stream 2 and some additionally derived parameters are stored as time series on a regular grid with a horizontal spacing of 0.2 degree. The model parameters have been transformed onto the regular geographical grid by the CDO routines. Please note, that none of the variables has been corrected for topographical differences between the two grids. The model domain of data stream 3 covers the European region starting at 34.6/-10.6 (lat/lon, centre of lower left grid box) with an increment of 0.2 degree. The number of grid points is 177/238 (lat/lon). For some model variables and additionally derived parameters some statistics on daily, monthly or yearly basis are available. See also http://sga.wdc-climate.de for a list of available parameters. Please contact sga"at"dkrz.de for data request details. See http://sga.wdc-climate.de for more details on CLM simulations in the context of the BMBF funding priority "klimazwei", some useful information on handling climate model data and the data access regulations. The output format is netCDF Experiment with CLM 2.4.11 on NEC-SX6(hurrikan) raw data: hpss:/dxul/ut/k/k204095/prism/experiments/C20_2
    Type: experiment
    Format: NetCDF
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  • 19
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    Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite Data - HOAPS-3 - monthly mean (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite Data (HOAPS) set is a completely satellite based climatology of precipitation, evaporation and freshwater budget (evaporation minus precipitation) as well as related turbulent heat fluxes and atmospheric state variables over the global ice free oceans. All variables are derived from SSM/I passive microwave radiometers, except for the SST, which is taken from AVHRR measurements. The data set includes multi-satellite averages, inter-sensor calibration, and an efficient sea ice detection procedure. Changes in this version are a prolonged time series, now containing data from 1987 to 2005, a new neural network based precipitation algorithm, and inclusion of the RSMAS/NODC Pathfinder Version 5 SST fields. Additionally a new 85 GHz synthesis procedure has been implemented for the time period to compensate for the missing channel information on DMSP F08, see accuracy report. Apart from monthly and pentad (5-day) means on a global 0.5 deg. x 0.5 deg. grid, twice daily multi-satellite composite data on a global 1 x 1 grid are available.
    Type: experiment
    Format: NetCDF
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  • 20
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    dphase_larsimbw: hydrological model LARSIM (Baden-Wuerttemberg) forecasts run by LUBW for the MAP D-PHASE project (2009)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: LARSIM (LARSIM=LArge Area Runoff Simulation Model BW= Baden-Wuerttemberg) is described in "Freiburger Schriften zur Hydrologie", Band 22. 2006 (Ludwig, K.; Bremicker, M.: The water Balance Model LARSIM) The calculated results from LARSIM for the gauges Murg at Rotenfels and Kinzig at Schwaibach were handed over. The results are calcultaed in operational mode of the flood forecasting centre Karlsruhe (HVZ). The forecasts were corrected with ARIMA (0,1,0), i.e. the forecasted discharges were shifted with a constant amount, so, that the first forecast value attaches directly to the last measured value. During low water periods, the forecast is adapted to the average value of the last 24 h of the measured values. The forecasts were calculated for 72 hours. The runs driven by the DWD forecast LMK takes the LMK (new name: COSMO-DE) for the first 21 hours and then the LME-forecast. The runs called LME take only the LME (new name: COSMO-EU) forecast into accuont. For the period up to the forecast time measured values were used. The model uses precipitation, temperature, wind velocity, dew point or rel. humidity and the solar radiation. The measurement network uses the stations of the German Weatherservice DWD, the stations of the federal state Baden-Wuerttemberg (called "LUBW Luft" and "LUBW Ombro") and stations of third parties. The measurement network is very dense, but the equipement of the different stations may be dissimilar. You can see the network of the precipitation stations at http://www.hvz.baden-wuerttemberg.de/ -〉 Niederschlag -〉 Stationskarte. The forecasts were performed by the Flood Forecasting Centre Karlsruhe (HVZ) with its operational model "Oberrheinzf" (for Oberrheinzufluesse = tributaries of the river Rhine). The HVZ is part of the "Landesanstalt fuer Umwelt, Messungen und Naturschutz Baden-Wuerttemberg" (LUBW)". The model covers the region: 7°42' / 48°04' und 8°33' / 49°02'
    Type: experiment
    Format: zip-file
    Format: XML
    Format: NetCDF
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  • 21
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    cops_radk_cband: radar data from C-Band Doppler Radar run by FZK-IMK during COPS 2007 (2009)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: Reflectivity and radial velocity of Karlsruhe C-Band Doppler Radar located at Forschungszentrum Karlsruhe. Volume data in polar coordinates are delivered. Two scans have been performed: 1. 14 Elevation volume scan of reflectivity and radial velocity starting at 0.4 deg elevation up to 30 deg elevation, 120 km range, 500 m resolution, dual PRF (pulse repetition frequency; 1153 Hz/864 Hz): reflectivity and radial velocity. 2. 14 Elevation volume scan as 1, but only single PRF: reflectivity. The data is provided in two different data sets: reflectivity (ca. every 5 min; data from both scan modi) and radial_velocity (every 10 min; data from 1st scan mode).
    Type: dataset_group
    Format: netCDF.gz
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  • 22
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    cops_suph_cradar: data of 35 GHz cloud radar run by FZK-IMK during COPS 2007 (2009)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: Profiles of the 35 GHz cloud radar MIRA36-S at COPS-Supersite Hornisgrinde. Containing reflectivity, radial Doppler velocity, spectral width and LDR (linear depolarisation ratio). Different scan modi are possible during one day. See more information on measurement times/scan modi in entry "cops_suph_cradar_info_1". Data available from 01.06.2007 to 06.08.2007 and 24.08.2007 to 31.08.2007.
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  • 23
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    cops_nsod_ubt: wind data from sodar-RASS run by University of Bayreuth during COPS 2007 (2009)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The Sodar/RASS device installed at Fussbach consisted of a DSDPA.90/64-Sodar and a DSDR3x7-1290MHz-RASS extension by METEK GmbH. It operated with an averaging period of 10 min. The minimum measurement height was 40 m and the maximum measurement height 700 m with a step width of 20 m in between.
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  • 24
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    dphase_cosmoch7: COSMO model forecasts (7 km) run by MeteoSwiss for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: - operational model of MeteoSwiss - configuration: Leap frog time integration; Tiedtke convection scheme with moisture convergence closure; two layer soil module (likely to be changed during DOP); prognostic TKE, qr and qs; no graupel scheme - forecast range 72h starting at 00UTC and 12UTC. Missing time steps are filled with dummy text files. Grid description: DDOM: xfirst: -6.1875 yfirst: -14.625 xsize: 201.0 ysize: 121.0 xinc:0.0625 yinc: 0.0625 xnpole: -170.0 ynpole: 32.5
    Type: experiment
    Format: tar-File(s)
    Format: XML
    Format: GRIB1; records separated
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  • 25
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    dphase_aladfr: ALADIN-France operational model forecasts run by Meteo-France for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: ALADIN is the operational model at Meteo-France. The horizontal resolution is 9.5km, the time step : 415s with a Semi-lagrangian scheme. There are 46 vertical levels with 15 levels below 3000m. The domain of the integration is : (-11.84W, 33.14E) (25N,56.95N) Physical parameterization: - the micro-physics scheme use 4 prognostic variables: liquid and ice cloud water, rain and snow. - the convection scheme is based on Bougeault (1985) with a donwdraft parameterization. - the operational ECMWF radiation code which is called every 60 minutes. - the burbulence is based on Louis's function with an interactive mixing length. ALADIN is coupled with ARPEGE every 3 hours and has its own assimilation system based on 3DVAR. The post-processing in GRIB files is done on a regular LAT-LON Grid with a 0.1 deg resolution on the DPHASE domain. ALADIN-FRANCE daily performs 54h forecasts starting at 0TU, 6TU, 12TU, 18TU (only the 0UTC forecast until 30h is sent) Grid description: DDOM: xfirst: 2.0 yfirst: 43.0 xsize: 161.0 ysize: 71.0 xinc: 0.1 yinc: 0.1 xnpole: 0.0 ynpole: 0.0
    Type: experiment
    Format: tar-File(s)
    Format: XML
    Format: GRIB1; records separated
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  • 26
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    dphase_isacmol: MOLOCH high-resolution forecasts driven by GFS forecasts run by ISAC-CNR for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The forecasting chain is based on the 00 UTC, GFS forecasts at 0.5 degree resolution. The chain comprises the hydrostatic model BOLAM, which is driven directly by the global model, and the non-hydrostatic model MOLOCH (horizontal resolution 0.02 degrees), which is nested in cascade using a 1-way nesting procedure. BOLAM run starts at 00 UTC, MOLOCH is nested at 09 UTC. MOLOCH domain is smaller than official DPHASE domain. A 39-h MOLOCH forecast is provided daily. Only a sub-set of TIGGE list is provided (see DS). More information available here: http://www.isac.cnr.it/~dinamica/ Grid description: lat-lon Arakawa C grid. Rotated equidistant grid. DDOM: xfirst: -2.69 yfirst: -1.84 xsize: 340.0 ysize: 290.0 xinc: 0.02 yinc: 0.02 xnpole: -171.0 ynpole: 44.7
    Type: experiment
    Format: XML
    Format: GRIB1;records separated;bz2-zip
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  • 27
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    dphase_isacmol2: MOLOCH high-resolution forecasts driven by ECMWF forecasts run by ISAC-CNR for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The forecasting chain is based on the 18 UTC, ECMWF forecasts at 0.25 degree resolution. The chain comprises the hydrostatic model BOLAM, which is driven directly by the global model, and the non-hydrostatic model MOLOCH (horizontal resolution 0.02 degrees), which is nested in cascade using a 1-way nesting procedure. BOLAM run starts at 18 UTC, MOLOCH is nested at 00 UTC. MOLOCH domain is smaller than official DPHASE domain. A 48-h MOLOCH forecast is provided daily. Only a sub-set of TIGGE list is provided (see DS). More information available here: http://www.isac.cnr.it/~dinamica/ Grid description: lat-lon Arakawa C grid. Rotated equidistant grid. DDOM: xfirst: -3.5 yfirst: -14.0 xsize: 330.0 ysize: 290.0 xinc: 0.021 yinc: 0.02 xnpole: -170.0 ynpole: 32.5
    Type: experiment
    Format: XML
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  • 28
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    cops_nebt_ubt_mast: Profile data of wind speed, temperature and water vapor pressure at profile mast run by University of Bayreuth during COPS 2007 (2009)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The 9 m profile mast run by University of Bayreuth continuously measured profiles of the wind speed, the air temperature and the water vapor pressure above a corn field with a sampling frequency of 1 Hz averaged to 1 min values within the data logger. Six cup anemometers and five psychrometers have been mounted in different heights. After a check for plausibility the 1 min values have been averaged to 30 min intervals, which are provided in this data set. The following instruments have been installed for the parameters given below: - wind speed: F460 cup anemometer (Climatronics Corp.) - temperature and water vapor pressure: electrically aspirated psychrometer (Frankenberger) The water vapor pressure has been calculated from the measured dry and moist thermometer temperatures of the psychrometer according to Sprung's psychrometer formula.
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  • 29
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    cops_suph_dlidar: lidar data of 2mu Doppler Lidar run by FZK/IMK-TRO during COPS 2007 (2009)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: Lidar data of 2mu Doppler Lidar run by FZK/IMK-TRO at COPS-Supersite Hornisgrinde. The windtracer is a commercial Doppler Lidar from LMCT. It can be operated in scanning and slant path mode. The data is direct output of the Real Time Lidar Data Processing Unit containing UTC, scanner position, rangegates and measured line_of_sight_velocity, signal to noise ratio (SNR), and aerosol backscatter signal derived from SNR. The wind profile is calculated automatically using VAD algorithm for 10 minutes intervals. No manual quality control is applied.
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  • 30
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    IPCC-DDC_CCCma_CGCM2_SRES_B2: 201 YEARS MONTHLY MEANS Canadian Centre for Climate Modelling and Analysis Canada (2002)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The SRES data sets were published by the IPCC in 2000 and classified into four different scenario families (A1, A2, B1, B2). SRES_B2 storyline describes a world in which the emphasis is on local solutions to economic, social and enviromental sustainability. The global population is increasing at a lower rate than A2. It has an intermediate level of economic development and a less rapid and more diverse technological change than in A1 and B1. The atmospheric component AGCM2 is a spectral model with triangular truncation at wave no. 32 and 10 vertical levels. The ocean model component based on the GFDL MOM 1.1 code with 29 vertical levels and has a iospycnal / eddy stirring parameterization (Gent and McWilliams,1990). CGCM2 (http://ec.gc.ca/ccmac-cccma/default.asp?lang=En&n=40D6024E-1 ). The changes of anthropogenic emissions of CO2, CH4, N2O and sulphur dioxide are prescribed according to the above mentioned scenario. These data belongs to a set of three ensemble runs, with the CCCma-model, using the SRES_B2 scenario. They provide monthly averaged values of selected variables for the IPCC-DDC.
    Type: experiment
    Format: GRIB
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  • 31
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    IPCC-DDC_CCSRNIES_SRES_A2: 211 YEARS MONTHLY MEANS National Institute for Environmental Studies and Center for Climate System Research Japan (2002)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The SRES data sets were published by the IPCC in 2000 and classified into four different scenario families (A1, A2, B1, B2). SRES_A2 storyline describes a very heterogeneous world with the underlying theme of self-reliance and preservation of local identities. It results in this scenario a continous increasing population together with a slower economic growth and technological change. The model developed by the Center for Climate System Resaerch/ National Institute for Enviromental Studies in Tokyo consists of the atmospheric component which has vertical resolution of 20 levels and the triangular truncation at wavenumber 21 (T21). The ocean model has 17 vertical levels and the same resolution. ). . The changes of anthropogenic emissions of CO2, CH4, N2O and sulphur dioxide are prescribed according to the above mentioned scenario.
    Type: experiment
    Format: GRIB
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  • 32
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    ECHAM4_OPYC_SRES_A2: 110 YEARS COUPLED A2 RUN 6H VALUES (2003)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The SRES data sets were published by the IPCC in 2000 and classified into four different scenario families (A1, A2, B1, B2). SRES-A2 storyline describes a very heterogeneous world with the underlying theme of self-reliance and preservation of local identities. It results in this scenario a continous increasing population together with a slower economic growth and technological change. The model consists of the atmospheric component which based on the weather forecast model of ECMWF. The atmospheric component is the standard model version of a 19-level hybrid sigma-pressure coordinate system. The ocean component is a model which computes with isopycnal coordinates. ECHAM4/OPYC3(http://ipcc-data.org/gcm/models/tar/echam4opyc3.html ). This data set is an enlargement of the IPCC data set and provides additional meteorological parameters. The run produces 6h values of the variables. ECHAM4/OPYC3 (http://ipcc-data.org/gcm/models/tar/echam4opyc3.html ). Changes of anthropogenic emissions of CO2, CH4, N2O and sulphur dioxide are prescribed according to the above mentioned scenario. The model run starts in 1990 from the results of the scenario run GSDIO (Experiment EH4OPYC_22723GSDIO) which has been run with observed conditions for the time periode 1860 to 1990.
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  • 33
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    IPCC-AR3 EH4-T106 TIME-SLICE INTEGRATION 2*CO2 IS92A: 2041-2050 6 HOUR values Deutsches Klimarechenzentrum Germany (2001)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: IPCC-AR3 LUGANO T106 TIME-SLICE INTEGRATION 2*CO2 of Deutsches Klimarechenzentrum Based on the greenhouse gas experiment (GHG) which used the modified scenario IS92a ("IS95a"), two 10 year periods were re-calculated with the higher horizontal resolution (appr. 110 km grid spacing) version (T106) of the ECHAM4 model. The stand-alone atmosphere model was used. The integrations were performed with transient forcing while the results were corrected by the model drift. The drift has been determined from the corresponding control run periods. SSTs have been taken from the Experiment EH4OPYC_22670GHG_MM and the AMIP climatology: SST_NEW(m,y)=(SST_CLIM(m)+SST_T42(m,y))*M+TS_T42(m)*(1-M) with m=1,12 and n=1,10 and M=land-sea mask(sea:1, land:0) This experiment contains results from the decade of CO2 equivalent doubling decade 2041-2050 in the IS92A scenario. Trace gas concentrations were hardcoded as 10-years means in the model. These experiments were calculated on a NEC SX4 in the swiss supercomputer center (CSCS) in Mano near Lugano. The data are used for the third assessment report. Model_raw_data location: schauer.dkrz.de://pf/k/k204026/k204004/04101/atm_d
    Type: experiment
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  • 34
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    Climate Simulation with CLM, Climate of the 20th Century run no.3, Data Stream 2: European region MPI-M/MaD (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The experiment CLM_C20_3_D2 contains European regional climate simulations of the years 1960-2000 on a rotated grid (CLM non hydrostatic, 0.165 degree hor. resolution, see http://www.clm-community.eu ). The simulations of the 20th century (1960-2000) have been forced by the third (_3_) run of the global 20th century climate (EH5-T63L31_OM-GR1.5L40_20C_3_6H) with observed anthropogenic forcing. In data stream 2 (_D2) the output variables of CLM are stored as time series on a rotated grid. The model region starts at -20.8725/-23.7275 (lat/lon in rotated coordinates; centre of lower left grid box) with an increment of 0.165 deg. The position of the North Pole in the rotated grid is: 39.25/-162.0 (lat/lon). The number of grid points is 255/241 (lat/lon). The sponge zone (numerically unreliable boundary grid points) of the original model output has been cut off. The regional model variables include two-dimensional near surface fields, as well as soil and atmospheric fields on different layers. The soil fields are simulated on 10 different levels with a maximum depth of 15 meters. The atmospheric fields are given on 6 pressure levels (200, 500, 700, 850, 925 and 1000 hPa). The time interval of the output fields ranges from 1 to 3 hours and includes daily output fields, depending on the respective variables. Please contact sga"at"dkrz.de for data request details. See http://sga.wdc-climate.de for more details on CLM simulations in the context of the BMBF funding priority "klimazwei", some useful information on handling climate model data and the data access regulations. The output format is netCDF Experiment with CLM 2.4.11 on NEC-SX6 (Stuttgart) raw data: /ut/6/k204095/imdi/experiments/C20_3/outdata/clm
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  • 35
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    IPCC-AR4 MPI-ECHAM5_T63L31 MPI-OM_GR1.5L40 1%/year CO2 increase experiment to doubling run no.3: atmosphere 6 HOUR values MPImet/MaD Germany (2004)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The data represent 6 hourly values of a simulation, initialized in the same year as experimnet 20C_3, with an annual CO2 increase of 1% until doubling in 1930. Between 1931 and 2080 the CO2 concentration was held constant. All other concentrations remain at their preindustrial levels (nominally year 1860). Data with monthly average values are also available. Technical data to this experiment: The experiment is using ECHAM5.2.02a coupeld to MPI-OM Vers. 1.0 GR1.5L40 The output from the model run: hurrikan.dkrz.de:/ut/k/k204076/EXP000/run008
    Type: experiment
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  • 36
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    IPCC-AR4 MPI-ECHAM5_T63L31 MPI-OM_GR1.5L40 1%/year CO2 increase experiment to doubling run no.3: atmosphere monthly mean values MPImet/MaD Germany (2004)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The data represent monthly avarage values of a simulation, initialized in the same year as experimnet 20C_3, with an annual CO2 increase of 1% until doubling in 1930. Between 1931 and 2080 the CO2 concentration was held constant. All other concentrations remain at their preindustrial levels (nominally year 1860). Data with higher resolution (6 hourly) are also available. Technical data to this experiment: The experiment is using ECHAM5.2.02a coupeld to MPI-OM Vers. 1.0 GR1.5L40 The output from the model run: hurrikan.dkrz.de:/ut/k/k204076/EXP000/run008
    Type: experiment
    Format: GRIB
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  • 37
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    IPCC-AR4 MPI-ECHAM5_T63L31 MPI-OM_GR1.5L40 20C3M run no.3: atmosphere monthly mean values MPImet/MaD Germany (2004)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The data represent monthly average values of a 20th century simulation (including year 2000)with observed anthropogenic forcings (CO2, CH4, N2O, CFCs, O3 and sulfate) initialized in year 2240 of the preindustrial control run. This is followed by a commitment experiment for the 21th century (years 2001-2100) with all concentrations fixed at their levels of year 2000. Datasets with higher resolution (6 hourly) are also available. Technical data to this experiment: The experiment is using ECHAM5.2.02a coupeld to MPI-OM Vers. 1.0 GR1.5L40 The output from the model run: hurrikan.dkrz.de:/ut/m/m214002/EXP500/run524 Please note: experiment_name/acronym was renamed (27-JUN-2005, 20C_2 changed to 20C_3)
    Type: experiment
    Format: GRIB
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  • 38
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    IPCC-AR4 MPI-ECHAM5_T63L31 MPI-OM_GR1.5L40 20C3M run no.1: atmosphere monthly mean values MPImet/MaD Germany (2004)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The data represent monthly average values of a 20th century simulation (including year 2000) with observed anthropogenic forcings (CO2, CH4, N2O, CFCs, O3 and sulfate) initialized in year 2190 of the preindustrial control run. This is followed by a commitment experiment for the 21th century (years 2001-2100) with all concentrations fixed at their levels of year 2000. Datasets with higher resolution (6 hourly) are also available. Technical data to this experiment: The experiment is using ECHAM5.2.02a coupeld to MPI-OM Vers. 1.0 GR1.5L40 The output from the model run: hurrikan.dkrz.de:/ut/k/k204076/EXP000/run009 Please note: experiment_name/acronym was renamed (27-JUN-2005, 20C_0 changed to 20C_1)
    Type: experiment
    Format: GRIB
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  • 39
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    IPCC-DDC_HADCM3_SRES_B2: 150 YEARS MONTHLY MEANS Hadley Centre for Climate Prediction and Research - UK Met Office (2001)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The SRES data sets were published by the IPCC in 2000 and classified into four different scenario families (A1, A2, B1, B2). SRES_B2 storyline describes a world in which the emphasis is on local solutions to economic, social and enviromental sustainability. The global population is increasing at a lower rate than A2. It has an intermediate level of economic development and a less rapid and more diverse technological change than in A1 and B1. The Hadley Centre Circulation Model is a 3-dim AOGCM described by (Gordon et al.,2000 and Pope et al.,2000). The atmospheric component has a 19 levels horizontal resolution, comparable with spectral resolution of T42, while the ocean component has a 20 levels resolution. HADCM3 (http://www.metoffice.gov.uk/research/modelling-systems/unified-model/climate-models/hadcm3 ). The changes of anthropogenic emissions of CO2, CH4, N2O and sulphur dioxide are prescribed according to the above mentioned scenario.
    Type: experiment
    Format: GRIB
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  • 40
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    IPCC-AR4 MPI-ECHAM5_T63L31 MPI-OM_GR1.5L40 SRESB1 run no.2: atmosphere monthly mean values MPImet/MaD Germany (2004)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The data represent monthly average values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk) The B1 scenario describes a storyline with rapid change in economic structures toward a service and information economy, with reductions in material intensity and the introduction of clean and resource-efficient technologies. The experiment has been initialized in year 2000 of the 20C_2 run and continues until year 2100 with anthropogenic forcings (CO2, CH4, N2O, CFCs, O3 and sulfate) according to B1. The experiment is extended until year 2200 with all concentrations fixed at their levels of year 2100 (stabilization experiment). Datasets with higher resolution (6 hourly) are also available. Technical data to this experiment: The experiment is using ECHAM5.2.02a coupled to MPI-OM Vers. 1.0 GR1.5L40 and was run on a NEC-SX (hurrikan). The output from the model run: hurrikan.dkrz.de: /ut/k/k204096/EXP200/run224
    Type: experiment
    Format: GRIB
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  • 41
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    IPCC-AR4 MPI-ECHAM5_T63L31 MPI-OM_GR1.5L40 SRESB1 run no.3: atmosphere 6 HOUR values MPImet/MaD Germany (2004)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The data represent 6 hours values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk) The B1 scenario describes a storyline with rapid change in economic structures toward a service and information economy, with reductions in material intensity and the introduction of clean and resource-efficient technologies. The experiment has been initialized in year 2000 of the 20C_3 run and continues until year 2100 with anthropogenic forcings (CO2, CH4, N2O, CFCs, O3 and sulfate) according to B1. The experiment is extended until year 2200 with all concentrations fixed at their levels of year 2100 (stabilization experiment). Datasets with monthly average values are also available. Technical data to this experiment: The experiment is using ECHAM5.2.02a coupled to MPI-OM Vers. 1.0 GR1.5L40 and was run on a NEC-SX (hurrikan). The output from the model run: hurrikan.dkrz.de: /ut/k/k204097/EXP000/run011
    Type: experiment
    Format: GRIB
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  • 42
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    GFDL_R30_SRES_B2 (2002)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The SRES data sets were published by the IPCC in 2000 and classified into four different scenario families (A1, A2, B1, B2). SRES_B2 storyline describes a world in which the emphasis is on local solutions to economic, social and enviromental sustainability. The global population is increasing at a lower rate than A2. It has an intermediate level of economic development and a less rapid and more diverse technological change than in A1 and B1. The atmospheric component solves the primitive equations using a spectral transform method, GFDL_R30 means a rhomboidal 30 truncation and the ocean component solves the primitive equation of motion using the Boussinesq, rigid-lid and hydrostatic approximation and based on GFDL Modular Ocean Model version 1. The changes of anthropogenic emissions of CO2, CH4, N2O and sulphur dioxide are prescribed according to the above mentioned scenario.
    Type: experiment
    Format: GRIB
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  • 43
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    IPCC-DDC_CCSRNIES_SRES_A1B: 211 YEARS MONTHLY MEANS National Institute for Environmental Studies and Center for Climate System Research Japan (2002)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The SRES data sets were published by the IPCC in 2000 and classified into four different scenario families (A1, A2, B1, B2). SRES_A1 storyline describes a future world of very rapid economic growth, global population that peaks in mid-century and declines thereafter and the rapid introduction of new and more efficient technologies. It is distinguished by their technological emphasis: A1FI: fossil intensiv, A1T : non-fossil energy sources and A1B : a balance across all sources. The model developed by the Center for Climate System Resaerch/ National Institute for Enviromental Studies in Tokyo consists of the atmospheric component which has vertical resolution of 20 levels and the triangular truncation at wavenumber 21 (T21). The ocean model has 17 vertical levels and the same resolution. ) The changes of anthropogenic emissions of CO2, CH4, N2O and sulphur dioxide are prescribed according to the above mentioned scenario.
    Type: experiment
    Format: GRIB
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  • 44
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    IPCC-AR4 MPI-ECHAM5_T63L31 MPI-OM_GR1.5L40 SRESA1B run no.1: atmosphere monthly mean values MPImet/MaD Germany (2004)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The data represent monthly average values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk) The A1B scenario is the part of the A1 family which describes a balance across all energy sources. The experiment has been initialized in year 2000 of the 20C_1 run and continues until year 2100 with anthropogenic forcings (CO2, CH4, N2O, CFCs, O3 and sulfate) according to A1B. The experiment is extended until year 2200 with all concentrations fixed at their levels of year 2100 (stabilization experiment). Datasets with higher resolution (6 hourly) are also available. Technical data to this experiment: The experiment is using ECHAM5.2.02a coupled to MPI-OM Vers. 1.0 GR1.5L40 and was run on a NEC-SX (hurrikan). The output from the model run: hurrikan.dkrz.de: /ut/k/k204098/EXP000/run012
    Type: experiment
    Format: GRIB
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  • 45
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    Unknown
    IPCC-AR4 MPI-ECHAM5_T63L31 MPI-OM_GR1.5L40 SRESB1 run no.1: atmosphere monthly mean values MPImet/MaD Germany (2004)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The data represent monthly average values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk) The B1 scenario describes a storyline with rapid change in economic structures toward a service and information economy, with reductions in material intensity and the introduction of clean and resource-efficient technologies. The experiment has been initialized in year 2000 of the 20C_1 run and continues until year 2100 with anthropogenic forcings (CO2, CH4, N2O, CFCs, O3 and sulfate) according to B1. The experiment is extended until year 2200 with all concentrations fixed at their levels of year 2100 (stabilization experiment). Datasets with higher resolution (6 hourly) are also available. Technical data to this experiment: The experiment is using ECHAM5.2.02a coupled to MPI-OM Vers. 1.0 GR1.5L40 and was run on a NEC-SX (hurrikan). The output from the model run: hurrikan.dkrz.de: /ut/k/k204098/EXP000/run013
    Type: experiment
    Format: GRIB
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  • 46
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    Unknown
    IPCC-AR4 MPI-ECHAM5_T63L31 MPI-OM_GR1.5L40 SRESA2 run no.1: atmosphere 6 HOUR values MPImet/MaD Germany (2004)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The data represent 6 hourly values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk) The A2 scenario describes an economic development which is primarily regionally oriented and the technical change is more fragmented and slower than in the other SRES storylines. The experiment has been initialized in year 2000 of the 20C_1 run and continues until year 2100 with anthropogenic forcings (CO2, CH4, N2O, CFCs, O3 and sulfate) according to A2. Datasets with monthly average values are also available. Technical data to this experiment: The experiment is using ECHAM5.2.02a coupled to MPI-OM Vers. 1.0 GR1.5L40 and was run on a NEC-SX (hurrikan). The output from the model run: hurrikan.dkrz.de: /ut/k/k204098/EXP000/run015
    Type: experiment
    Format: GRIB
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  • 47
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    ECHOG_A15_PRI: 2000 year control run of preindustrial climate (DEKLIM-EEM project), monthly mean values (2006)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The purpose of the project DEKLIM-EEM is to reconstruct past interglacials based on proxy data and to understand the processes that are responsible for climatic changes during these interglacials by applying climate models. The data represent monthly average value of a simulation of the preindustrial climate (PRI) at around 1800 yr AD. Boundary conditions are equivalent to the other simulations of the project, apart from the concentration of greenhouse gases and orbital parameters: Greenhouse gas concentrations are derived from vostok ice core data: 280 ppmV CO2, 0.70 ppmV CH4 and 265 ppbV N2O. CFCs are set to zero. Orbital parameters have been calculated with the routine of Berger (1978): Eccentricity: 0.0167; Obliquity: 23.44; Perihelion: 282.7 The simulation has been started with the Levitus ocean climatology. ECHO-G is used as climate model. It is a coupled atmosphere/ocean model (ECHAM4_T30 + HOPE-E_T42er). The simulation was run on a NEC-SX6 (hurrikan). Atmospheric data were originally stored by the model every 12 hours. Ocean data is stored every month. As the boundary conditions are not time dependent, the time access is arbitrary. Related experiments: - ECHOG_A16_LIG control run, last interglacial (Eemian, 125 kyrBP, DEKLIM-EEM project), started with Levitus climatology, monthly mean values - ECHOG_A40_LGI: control run, last glacial inception (End of the Eemian, 115 kyrBP, DEKLIM-EEM project), started with Levitus climatology, monthly mean values.
    Type: experiment
    Format: GRIB
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  • 48
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    ECHOG_A40_LGI: Control Run for the Last Glacial Inception (End of the Eemian, 115 kyrBP, DEKLIM-EEM project),monthly mean values (2006)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The purpose of the project DEKLIM-EEM is to reconstruct past interglacials based on proxy data and to understand the processes that are responsible for climatic changes during these interglacials by applying climate models. The data represent monthly average value of a simulation of the Last Glacial Inception (LGI) at 115000 years before present(End of the Eemian). Boundary conditions are the same as in the preindustrial control run (ECHOG_A15_PRI), apart from the concentration of greenhouse gases and orbital parameters: Greenhouse gas concentrations are derived from vostok ice core data: 265 ppmV CO2, 0.52 ppmV CH4 and 270 ppbV N2O. Orbital parameters have been calculated with the routine of Berger (1978): Eccentricity: 0.0414; Obliquity: 22.41; Perihelion: 290.9 The simulation has been started with the Levitus ocean climatology. ECHO-G is used as climate model. It is a coupled atmosphere/ocean model(ECHAM4_T30 + HOPE-E_T42er). The simulation was run on a NEC-SX6(hurrikan). Atmospheric data were originally stored by the model every 12 hours. Ocean data is stored every month. As the boundary conditions are not time dependent, the time access is arbitrary. Related experiments: ECHOG_A15_PRI preindustrial control run (ca. 1800 A.D.; run a15), started with Levitus climatology. ECHOG_A16_LIG control run, last interglacial (Eemian, 125 kyrBP; run a16), started with Levitus climatology.
    Type: experiment
    Format: GRIB
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  • 49
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    dphase_mm5_2_4d: MM5 model forecast with 2 km horizontal resolution based on 4DVAR assimilation of GPS data run by UHOH for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: not filled
    Type: experiment
    Format: tar of jpg
    Format: XML
    Format: GRIB1; records separated
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  • 50
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    dphase_arpalmol: MOLOCH operational model forecasts run by ARPAL CFMI-PC for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: Non hydrostatic model Moloch, developed at ISAC CNR and operational at ARPAL CFMI-PC. Initial and boundary conditions provided by the model chain based on bolam and initialized with the 00 UTC ECMWF run. Grid description: DDOM: xfirst: -1.99 yfirst: -1.93 xsize: 200.0 ysize: 194.0 xinc: 0.02 yinc: 0.02 xnpole: -171.0 ynpole: 45.0
    Type: experiment
    Format: tar-File(s)
    Format: XML
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  • 51
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    Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite Data - HOAPS-3 - 5-days mean (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite Data (HOAPS) set is a completely satellite based climatology of precipitation, turbulent heat fluxes and freshwater budget (evaporation minus precipitation) as well as related athmospheric state variables over the global ice free oceans. All variables are derived from SSM/I passive microwave radiometers, except for the SST, which is taken from AVHRR measurements. The dataset includes multi-satellite averages, inter-sensor calibration, and an efficient sea ice detection procedure. Changes in this version are a longer time series, now containing data from 1987 to 2005, a new neural network based precipitation algorithm, and inclusion of the RSMAS/NODC Pathfinder Version 5 SST fields. Additionally a new 85 GHz synthesis procedure has been implemented, making a continuous time series for all parameters for the whole time series possible. All pentad (5-day) mean products are distributed in separate monthly files. The first day of a 5-day average period determines the monthly file wherein it is saved. Each year is subdivided in 73 pentads starting at the same day of the year. During leap years, the twelfth pentad (starting at February 25) is the average of six days. Apart from pentad (5-day) and monthly means on a global 0.5 deg. x 0.5 deg. grid, twice daily multi-satellite composite data on a global 1 x 1 deg. grid are available. For more information see http://www.hoaps.org/.
    Type: experiment
    Format: NetCDF
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  • 52
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    dphase_cmcgeml: regional GEM model driving (low resolution) forecast run by CMC for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The Canadian Meterological Centre (CMC) is running the Global Environmental Multiscale (GEM) model in limited-area mode for the duration of the MAP D-PHASE project (1 June - 31 November 2007). The model is run once-daily directly from operational GEM meso-global forecast data (grid spacing of 33 km). A pair of domains are used for the project with horizontal grid spacings of 15 km and 2.5 km. This outer (low resolution or driving) grid is initialized daily at 0000 UTC and covers all of Europe, out to the British Isles, the North Sea, and Nortern Africa. The timestep for this forecast is 300 sec and outputs are available hourly. No regional analysis or data assimilation cycle is undertaken during this project. All observational data will therefore be ingested only indrectly in the regional setup through the outer grid initialization and hourly boundary updates from the meso-global model. The GEM model is a semi-implicit, semi-Lagrangian, two time-level, non-hydrostatic model that runs in a wide variety of configurations. An updated version (v3.3.0) of the GEM model is being used for the MAP D-PHASE project in preparation for the Vancouver 2010 Olympic Games project. This version takes advantage of recent developments designed to enhance the quality of guidance over regions of steeply-sloping orography, including the addition of a 6-category bulk microphysics scheme and time-varying orography over the initialization period. For more information on -the GEM model dynamics: see Cote et al (1998) [Mon. Wea. Rev.]. -the model physics package: contact Recherche en Prevision Numerique for the related technical document by Mailhot. -the model's microphysics scheme: see Milbrandt and Yau (2007) [Mon. Wea. Rev.]. Grid description: DDOM: xfirst: 2.0 yfirst: 43.0 xsize: 201.0 ysize: 101.0 xinc: 0.08 yinc: 0.07 xnpole: 0.0 ynpole: 0.0
    Type: experiment
    Format: XML
    Format: GRIB1; records separated
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  • 53
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    dphase_qbolam11: QBOLAM meteorological model (10km) run by APAT for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: Forecast data are modelled by the parallel version of the hydrostatic BOlogna Limited Area Model (BOLAM) operational at the Italian National Agency for Environmental Protection and Technical Services in Rome (Italy). This parallel version, called QBOLAM, is employed in an operational setting as a part of the Sistema Idro-Meteo-Mare (Hydro-Meteo-Marine System; SIMM) forecasting chain, with a 11-km grid step over a domain covering the entire Mediterranean basin. The QBOLAM11 model is forced with the QBOLAM33 forecast data, neglecting the first 12 hours (spin-up time), producing a 48-h forecast starting at 0000 UTC. The QBOLAM 33 runs are instead initialized using the 1200 UCT European Centre for Medium-Range Weather Forecasts analyses and forecasts. The SIMM modelling chain includes also a 10-km WAve model (WAM) over the Mediterranean Sea, a shallow-water version of the Princeton Ocean Model (POM) for sea elevation over the Adriatic Sea and a finite element model for sea elevation in the Venice Lagoon (VL-FEM). For DPHASE project, forecast data are provided over a subdomain (referred as DDOM) of the original domain (which covers the entire Mediterranean Basin). Forecast data will be also available on the COPS domain (referred as CDOM). Not all the meteorological fields selected for the experiment are provided, since some of these are not produced by the QBOLAM model. Grid description: Please note that the westermost longitude and the southermost latitude points refer to the sub-domain chosen for MAP DPHASE. The QBOLAM original domain covers the Mediterranean Basin. CDOM: xfirst: -6.0 yfirst: 8.4 xsize: 54.0 ysize: 27.0 xinc: 0.1 yinc: 0.1 xnpole: -167.5 ynpole: 51.5 DDOM: xfirst: -9.5 yfirst: 4.4 xsize: 147.0 ysize: 67.0 xinc:0.1 yinc: 0.1 xnpole: -167.5 ynpole: 51.5
    Type: experiment
    Format: tar file, zipped
    Format: XML
    Format: GRIB1; records separated
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  • 54
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    dphase_lme: LME (COSMO-EU) model forecasts run by DWD for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: This experiment contains forecasts from the LME (COSMO-EU) model of DWD (7km horizontal resolution, 40 model levels). Model runs are started every 6h at 00, 06, 12 and 18 UTC with a forecast range of +72h. LME (COSMO-EU) is an operational forecast model of DWD. The output is mostly according to the tigge+ list. Descriptions of the differences to TIGGE+ can be found in the summary of the data sets. For a detailed description of the LME (COSMO-EU) model, please contact the originator of the data. Grid description: CDOM: xfirst: -2.73 yfirst: -2.927 xsize: 177.0 ysize: 112.0 xinc: 0.063 yinc: 0.063 xnpole: -170.0 ynpole: 40.0 DDOM: xfirst: -5.882 yfirst: -6.685 xsize: 177.0 ysize: 112.0 xinc: 0.063 yinc: 0.063 xnpole: -170.0 ynpole: 40.0
    Type: experiment
    Format: tar file, zipped
    Format: XML
    Format: GRIB1; records separated
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  • 55
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    dphase_lamepsat: ALADIN-Austria Ensemble system run by ZAMG for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: Model system ALADIN, 18km horizontal resolution, 37 levels in vertical, LOPEZ microphysics etc. Ensemble system with 16 members. 2 runs per day at 00, 12 UTC, Initial perturbation: Downscaling of ECMWF Singular vector perturbation Lateral boundary perturbation: Coupling with the ECMWF EPS system Domain of products: Latitude: 38.53---54.98, 0.15 deg grid space, 110 grids; Longitude: 2.55---31.8, 0.15 deg. grid space, 196 grids Every 3 hours, from 0 to 48 hours forecast. Grid description: quadratic grid, it is the Lambert Projection DDOM: xfirst: 2.55 yfirst: 42.95 xsize: 105.0 ysize: 49.0 xinc: 0.15 yinc: 0.15 xnpole: 0.0 ynpole: 0.0
    Type: experiment
    Format: tar-File(s)
    Format: XML
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  • 56
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    dphase_lmeuro: COSMO-ME model forecasts (7km) run by Italian Met. Service CNMCA for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: COSMO-ME is the high-resolution operational implementation of COSMO Model at the National Meteorological Service of Italy. The model domain covers most of continental Europe and the entire Mediterranean Basin. The horizontal resolution is 7km (0.0625deg) with 40 vertical levels. The model is routinely run on the ECMWF super-computer once a day at 00Z with hourly output. The initial conditions are interpolated from the Italian Met. Service 3DVAR-FGAT data assimilation system. The boundary conditions (BC) are provided by IFS global model. Grid description: DDOM: xfirst: -5.875 yfirst: -14.312 xsize: 194.0 ysize: 112.0 xinc: 0.0625 yinc: 0.0625 xnpole: -170.0 ynpole: 32.5
    Type: experiment
    Format: XML
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  • 57
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    Reconstruction of global land use and land cover AD 800 to 1992 (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: This dataset contains reconstructions of land use and land cover from AD 800 to 1992 in global coverage at 30 minute resolution. After AD 1700, the data is based on Ramankutty and Foley (1999), Foley et al. (2003) and Klein Goldewijk (2001); for earlier times, land use is estimated with a country-based method that uses national population data (McEvedy and Jones, 1978) as a proxy for agricultural activity. For each year, a map is provided that contains 14 fields. Each field holds the fraction the respective vegetation type covers in the total grid cell (0-1). The vegetation types comprise three human land use types (crop, C3 pasture and C4 pasture) and 11 natural vegetation types (based on the potential vegetation map of Ramankutty and Foley, 1999). For the time period prior to AD 1700 two additional land cover scenarios are provided (scenmin and scenmax). They quantify the uncertainties associated with this approach, through technological progress in agriculture and uncertainties in population estimates. The additional datasets combine the known uncertainties in a way to give the most extreme range for possible estimates of land use area for each year before 1700. The datasets thus do not represent consistent time series of plausible alternative scenarios, but indicate, for each year, a maximum range outside which estimates of land use area are unrealistic. See citations and references for details. Vegetation types: 1 Tropical evergreen forest 2 Tropical deciduous forest 3 Temperate evergreen broadleaf forest 4 Temperate/boreal deciduous broadleaf forest 5 Temperate/boreal evergreen conifers 6 Temperate/boreal deciduous conifers 7 Raingreen shrubs 8 Summergreen shrubs 9 C3 natural grasses 10 C4 natural grasses 11 Tundra 12 Crop 13 C3 pasture 14 C4 pasture
    Type: experiment
    Format: NetCDF
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  • 58
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    Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite Data - HOAPS-3 - twice daily composite (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite Data (HOAPS) set is a completely satellite based climatology of precipitation, turbulent heat fluxes and freshwater budget (evaporation minus precipitation) as well as related athmospheric state variables over the global ice free oceans. All variables are derived from SSM/I passive microwave radiometers, except for the SST, which is taken from AVHRR measurements. The dataset includes multi-satellite averages, inter-sensor calibration, and an efficient sea ice detection procedure. Changes in this version are a longer time series, now containing data from 1987 to 2005, a new neural network based precipitation algorithm, and inclusion of the RSMAS/NODC Pathfinder Version 5 SST fields. Additionally a new 85 GHz synthesis procedure has been implemented, making a continuous time series for all parameters for the whole time series possible. This dataset contains 1 degree twice daily globally gridded multi-satellite composite products, providing high temporal resolution. Each grid-cell contains data from only one satellite pass, there is no average from two or more satellites. Early passes are overwritten by later passes. This method provides more spatial homogeneity than averaging all available data. The fields are stored for 0-12 and 12-24 UTC. Timesteps in the data files are at 0 UTC (0-12 UTC overpasses) and 12 UTC (12-24 UTC overpasses). Each grid-cell contains the average of data from the satellite that passed this gridbox closest to 12 and 24 UTC, respectively. Other gridded data sets available are pentad (5-day) and monthly means on a global 0.5 deg. x 0.5 deg. grid. For more information see http://www.hoaps.org/.
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  • 59
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    dphase_lami28: Limited Area Model Italy forecasts (COSMO model, 2.8 km) run by ARPA-SIM for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: lami28 stands for 'Limited Area Model Italy' which is the Italian implementation of COSMO Model, run with a 2.8 km grid interval. COSMO model in lami28 suite is run operationally once a day with a 2.8 km grid interval; it is initialised at 00 UTC with the lami7 interpolated analysis; the boundary conditions as well are provided by lami7 model; the integration domain ranges approximately from 6°E to 19°E and from 36°N to 48°N and the integration time range is 48 hours. The model is run at Cineca computing centre (http://www.cineca.it) on an IBM Power5 platform. The PICS datasets was not provided due to computer time constraints. Please note: data are available ONLY from 09/10/2007 to 30/11/2007. Grid description: DDOM: xfirst: -3.5 yfirst: -15.425 xsize: 417.0 ysize: 272.0 xinc: 0.025 yinc: 0.025 xnpole: 32.5 ynpole: -170.0
    Type: experiment
    Format: GRIB1; records separated
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  • 60
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    dphase_cleps: COSMO-LEPS forecasts run by ARPA-SIM for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: cleps stands for COSMO-LEPS, the Limited-area Ensemble Prediction System implemented and developed by ARPA-SIM in the framework of COSMO consortium. This system is made up of 16 integrations with the non-hydrostatic limited-area model COSMO (formerly known as Lokal Modell). The 16 integrations takes initial and boundary conditions from 16 selected members of ECMWF EPS; the following prodedure is used to select EPS members: 1) Two successive runs of ECMWF EPS (starting at 00 and 12UTC) are considered; since each EPS set is composed of 51 integrations, 102 members are 2) a clustering algorithm is applied to construct 16 clusters (of different population); the clustering variables are Z,U,V,Q at 500, 700, 850 hPa at +96, +120 fcst steps; the clustering domain is 30-60N, 10W-30E. 3) within each cluster a representative member (RM) is selected on the basis of the same variables used for the clustering; 4) 16 RMs are selected; 5) each RM provides both initial and boundary conditions to the limited-area integrations with the COSMO model, which is run 16 times; 6) the limited-area runs constitute COSMO-LEPS Each limited-area runs has the following features: start once a day at 12UTC; hor. res. 10 km; vert. res. 40 ML; fcst length: 132h; post-proc frequency: 3h The integration domain cover the whole Central and Southern Europe, although, for D-PHASE, only a subdomain is delivered. Grid description: DDOM: xfirst: -6.02 yfirst: -7.0 xsize: 135.0 ysize: 83.0 xinc: 0.09 yinc: 0.09 xnpole: 190.0 ynpole: 40.0
    Type: experiment
    Format: tar-File(s)
    Format: XML
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  • 61
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    dphase_cosmoch2: COSMO model forecasts (2.2 km) run by MeteoSwiss for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: - preoperational model (planned to become operational in 2008) - configuration: Runge Kutta time integration scheme (dt=20sek); multi layer soil module; no parameterized deep convection; 60 levels; prognostic TKE, rain, snow and graupel - model runs are started at 00UTC 03UTC 09UTC 12UTc and 18UTC. Forecast range is 24h, except 09 and 18 run ranging upt to 30h. To complete the timeseries, dummy text files have been generated for 06UTC, 15UTC, 21UTC. Missing time steps are filled with dummy text files as well. Note: From 12th of July 2007 on, +24h forecasts are produced for 06, 15 and 21 UTC as well. Grid description: CDOM: xfirst: -2.76 yfirst: -0.02 xsize: 174.0 ysize: 141.0 xinc: 0.02 yinc: 0.02 xnpole: -170.0 ynpole: 43.0 DDOM: xfirst: -5.5 yfirst: -3.8 xsize: 500.0 ysize: 330.0 xinc: 0.02 yinc: 0.02 xnpole: -170.0 ynpole: 43.0
    Type: experiment
    Format: tar-File(s)
    Format: XML
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  • 62
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    cops_suph_wvdial: absolute humidity and backscatter data from DIAL run by UHOH during COPS 2007 (2009)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The files contain vertical profiles of absolute humidity and backscatter signals at 820 nm measured with the Water Vapor Differential Absorption Lidar of University of Hohenheim (UHOH DIAL) during COPS 2007. The UHOH DIAL was located at Hornisgrinde (COPS Supersite H) with other instruments. The backscatter signals are offline backscatter data multiplied with range squared in arbitrary units. These data show aerosols and clouds above the lidar. The temporal and spatial resolution of these data is 10 s and 15 m, respectively. For the humidity data (in g/m**-3) of this release, the temporal and spatial resolution is the same but with a 150-m-long weighting function. Data with higher resolution, data of higher altitudes, or data of measurement days which are not published within this release are available on request. See pdf summary in entry 'cops_suph_rlidar_info_1' for further information.
    Type: dataset_group
    Format: NetCDF
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  • 63
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    IPCC_ECHAM4OPYC_SRES_A2_MM (2001)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The SRES data sets were published by the IPCC in 2000 and classified into four different scenario families (A1, A2, B1, B2). SRES_A2 storyline describes a very heterogeneous world with the underlying theme of self-reliance and preservation of local identities. It results in this scenario a continous increasing population together with a slower economic growth and technological change. The model consists of the atmospheric component which based on the weather forecast model of ECMWF. The atmosphere component is the standard model version of a 19-level hybrid sigma-pressure coordinate system. The ocean component is a model which computes with isopycnal coordinates. ECHAM4/OPYC3(http://ipcc-data.org/gcm/models/tar/echam4opyc3.html). This data set is an enlargement of the IPCC data set and provides additionel meteorological parameters. The run produces monthly averaged values of the variabeles. Changes of anthropogenic emissions of CO2, CH4, N2O and sulphur dioxide are prescribed according to the above mentioned scenario. The model run starts in 1990 from the results of the scenario run GSDIO (Experiment "EH4OPYC_22723GSDIO") which has been run with observed conditions for the time period 1860-1990.
    Type: experiment
    Format: GRIB
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  • 64
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    GFDL_R30_SRES_A2 (2002)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The SRES data sets were published by the IPCC in 2000 and classified into four different scenario families (A1, A2, B1, B2). SRES_A2 storyline describes a very heterogeneous world with the underlying theme of self-reliance and preservation of local identities. It results in this scenario a continous increasing population together with a slower economic growth and technological change. The atmospheric component solves the primitive equations using a spectral transform method, GFDL_R30 means a rhomboidal 30 truncation and the ocean component solves the primitive equation of motion using the Boussinesq, rigid-lid and hydrostatic approximation and based on GFDL Modular Ocean Model version 1. The changes of anthropogenic emissions of CO2, CH4, N2O and sulphur dioxide are prescribed according to the above mentioned scenario.
    Type: experiment
    Format: GRIB
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  • 65
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    IPCC-DDC_CCSRNIES_SRES_A1FI: 211 YEARS MONTHLY MEANS National Institute for Environmental Studies and Center for Climate System Research Japan (2002)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The SRES data sets were published by the IPCC in 2000 and classified into four different scenario families (A1, A2, B1, B2). SRES_A1 storyline describes a future world of very rapid economic growth, global population that peaks in mid-century and declines thereafter and the rapid introduction of new and more efficient technologies. It is distinguished by their technological emphasis: A1FI: fossil intensiv, A1T : non-fossil energy sources and A1B : a balance across all sources. The model developed by the Center for Climate System Resaerch/ National Institute for Enviromental Studies in Tokyo consists of the atmospheric component which has vertical resolution of 20 levels and the triangular truncation at wavenumber 21 (T21). The ocean model has 17 vertical levels and the same resolution. ) The changes of anthropogenic emissions of CO2, CH4, N2O and sulphur dioxide are prescribed according to the above mentioned scenario.
    Type: experiment
    Format: GRIB
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  • 66
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    IPCC-DDC_CCSRNIES_SRES_B2: 211 YEARS MONTHLY MEANS National Institute for Environmental Studies and Center for Climate System Research Japan (2002)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The SRES data sets were published by the IPCC in 2000 and classified into four different scenario families (A1, A2, B1, B2). SRES_B2 storyline describes a world in which the emphasis is on local solutions to economic, social and enviromental sustainability. The global population is increasing at a lower rate than A2. It has an intermediate level of economic development and a less rapid and more diverse technological change than in A1 and B1. The model developed by the Center for Climate System Resaerch/National Institute for Enviromental Studies in Tokyo consists of the atmospheric component which has vertical resolution of 20 levels and the triangular truncation at wavenumber 21 (T21). The ocean model has 17 vertical levels and the same resolution. ) The changes of anthropogenic emissions of CO2, CH4, N2O and sulphur dioxide are prescribed according to the above mentioned scenario.
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  • 67
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    IPCC-AR3 EH4-T106 TIME-SLICE INTEGRATION 1*CO2 IS92A: 1971-1980 6 HOUR values Deutsches Klimarechenzentrum Germany (2001)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: IPCC-AR3 LUGANO T106 TIME-SLICE INTEGRATION 1*CO2 of Deutsches Klimarechenzentrum. Based on the greenhouse gas experiment (GHG) which used the modified scenario IS92a ("IS95a"), two 10 year periods were re-calculated with the higher horizontal resolution (appr. 110 km grid spacing) version (T106) of the ECHAM4 model. The stand-alone atmosphere model was used. The integrations were performed with transient forcing while the results were corrected by the model drift. The drift has been determined from the corresponding control run periods. SSTs have been taken from the Experiment EH4OPYC_22670GHG_MM and the AMIP climatology: SST_NEW(m,y)=(SST_CLIM(m)+SST_T42(m,y))*M+TS_T42(m)*(1-M) with m=1,12 and n=1,10 and M=land-sea mask(sea:1, land:0) This experiment contains results from the present-day reference decade 1971-1980. Trace gas concentrations were hardcoded as 10-years means in the model. These experiments were calculated on a NEC SX4 in the swiss supercomputer center (CSCS) in Mano near Lugano. The data are used for the third assessment report. Model_raw_data location: schauer.dkrz.de://pf/k/k204026/k204004/04100/atm_d
    Type: experiment
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  • 68
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    dphase_mpeps: MicroPEPS LAF-Ensemble run by DWD for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The D-Phase MicroPEPS is a LAF-Ensemble (lagged average forecast) that is based upon 5 different high resolution models: COSMOCH2 LMK AROME CMCGEMH ISACMOL2 The individual members can be found in the respective experiments 'dphase_*' in this data base. As time lagged forecasts the initialisation times t-3h and t-6h relative to the reference time t are incorporated. In a maximum the MicroPEPS might have 9 members (COSMOCH2: 3, LMK: 3, AROME: 1, CMCGEMH: 1, ISACMOL: 1). While COSMOCH2 and LMK generate new forecasts every 3 hours the other models run less frequently. In the 6 hour MicroPEPS time window AROME, CMCGEMH and ISACMOL provide one run each. During operation the ensemble size might change due to the availability of the forecasts. The MicroPEPS uses equal weights for averaging its members. The MicroPEPS generates probability forecasts by interpreting the overlapping areas of the single forecasts as members of a local ensemble. Due to the different domains of the deterministic models the size of the ensemble depends on location. Hence the quality of the forecasted probability distributions varies over the domain. There will be four runs a day at 0, 6, 12 and 18 UTC. Grid description: CDOM: xfirst: 6.0 yfirst: 47.0 xsize: 168.0 ysize: 151.0 xinc: 0.03 yinc: 0.02 xnpole: 0.0 ynpole: 0.0 DDOM: xfirst: 2.0 yfirst: 43.0 xsize: 535.0 ysize: 351.0 xinc: 0.03 yinc: 0.02 xnpole: 0.0 ynpole: 0.0
    Type: experiment
    Format: tar file, zipped
    Format: XML
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  • 69
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    dphase_qbolam33: QBOLAM meteorological modell (30km) run by APAT for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: Forecast data are modelled by a 30-km parallel version of the hydrostatic BOlogna Limited Area Model (BOLAM) operational at the National Agency for Environmental Protection and Technical Services (APAT) at Rome (Italy). This version, referred as 30-km QBOLAM model, is the driving model of the 11-km QBOLAM model which is described in the dphase_qbolam11 experiment. For DPHASE project, forecast data are provided over a subdomain (refered as DDOM) of the original domain (which covers the entire Mediterranean Basin). Not all the meteorological fields selected for the experiment are provided, since some of these are not produced by the QBOLAM model. Initial and boundary conditions for a 60-h QBOLAM33 forecast are derived from the European Centre for Medium-Range Weather Forecasts analysis and forecast issued at 1200 UTC on the previous day. Grid description: Please note that the westermost longitude and the southermost latitude points refer to the sub-domain chosen for MAP DPHASE. The QBOLAM original domain covers the Mediterranean Basin. DDOM: xfirst: -10.2 yfirst: 4.2 xsize: 54.0 ysize: 40.0 xinc: 0.3 yinc: 0.3 xnpole: -167.5 ynpole: 51.5
    Type: experiment
    Format: XML
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  • 70
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    IPCC-AR4 MPI-ECHAM5_T63L31 MPI-OM_GR1.5L40 SRESB1 run no.3: atmosphere monthly mean values MPImet/MaD Germany (2004)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The data represent monthly average values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk) The B1 scenario describes a storyline with rapid change in economic structures toward a service and information economy, with reductions in material intensity and the introduction of clean and resource-efficient technologies. The experiment has been initialized in year 2000 of the 20C_3 run and continues until year 2100 with anthropogenic forcings (CO2, CH4, N2O, CFCs, O3 and sulfate) according to B1. The experiment is extended until year 2200 with all concentrations fixed at their levels of year 2100 (stabilization experiment). Datasets with higher resolution (6 hourly) are also available. Technical data to this experiment: The experiment is using ECHAM5.2.02a coupled to MPI-OM Vers. 1.0 GR1.5L40 and was run on a NEC-SX (hurrikan). The output from the model run: hurrikan.dkrz.de: /ut/k/k204097/EXP000/run011
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  • 71
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    IPCC-DDC_CCSRNIES_SRES_A1T: 211 YEARS MONTHLY MEANS National Institute for Environmental Studies and Center for Climate System Research Japan (2002)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The SRES data sets were published by the IPCC in 2000 and classified into four different scenario families (A1, A2, B1, B2). SRES_A1 storyline describes a future world of very rapid economic growth, global population that peaks in mid-century and declines thereafter and the rapid introduction of new and more efficient technologies. It is distinguished by their technological emphasis: A1FI: fossil intensiv, A1T : non-fossil energy sources and A1B : a balance across all sources. The model developed by the Center for Climate System Resaerch/ National Institute for Enviromental Studies in Tokyo consists of the atmospheric component which has vertical resolution of 20 levels and the triangular truncation at wavenumber 21 (T21). The ocean model has 17 vertical levels and the same resolution. ) The changes of anthropogenic emissions of CO2, CH4, N2O and sulphur dioxide are prescribed according to the above mentioned scenario.
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  • 72
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    IPCC-DDC_CCSRNIES_SRES_B1: 211 YEARS MONTHLY MEANS National Institute for Environmental Studies and Center for Climate System Research Japan (2002)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The SRES data sets were published by the IPCC in 2000 and classified into four different scenario families (A1, A2, B1, B2). SRES_B1 storyline describes a global population similar to A1 but with rapid change in economic structure toward a service and information economy, with reduction in material intensity and the introduction of clean and resource efficient technologies. The model developed by the Center for Climate System Resaerch/ National Institute for Enviromental Studies in Tokyo consists of the atmospheric component which has vertical resolution of 20 levels and the triangular truncation at wavenumber 21 (T21). The ocean model has 17 vertical levels and the same resolution. ) The changes of anthropogenic emissions of CO2, CH4, N2O and sulphur dioxide are prescribed according to the above mentioned scenario.
    Type: experiment
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  • 73
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    Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite Data - HOAPS II - monthly mean (2004)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The new version of the Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite Data set - HOAPS II - contains improved global fields of precipitation and evaporation over the oceans and all basic state variables needed for the derivation of the turbulent fluxes. Except for the NOAA Pathfinder SST data set, all variables are derived from SSM/I satellite data over the ice free oceans between 1987 and 2002. The earlier HOAPS version was improved and includes now the utilisation of multi-satellite averages with proper inter-satellite calibration, improved algorithms and a new ice detection procedure, resulting in more homogeneous and reliable spatial and temporal fields as before. The spatial resolution of 0.5 degree, makes them ideally suited for studies of climate variability over the global oceans. Pentade and climatological means are also public and available via the CERA database system. Further information under : http://www.hoaps.zmaw.de .
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  • 74
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    IPCC-AR4 MPI-ECHAM5_T63L31 MPI-OM_GR1.5L40 SRESA1B run no.3: atmosphere monthly mean values MPImet/MaD Germany (2004)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The data represent monthly average values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk) The A1B scenario is the part of the A1 family which describes a balance across all energy. The experiment has been initialized in year 2000 of the 20C_3 run and continues until year 2100 with anthropogenic forcings (CO2, CH4, N2O, CFCs, O3 and sulfate) according to A1B. The experiment is extended until year 2200 with all concentrations fixed at their levels of year 2100 (stabilization experiment). Datasets with higher resolution (6 hourly) are also available. Technical data to this experiment: The experiment is using ECHAM5.2.02a coupled to MPI-OM Vers. 1.0 GR1.5L40 and was run on a NEC-SX (hurrikan). The output from the model run: hurrikan.dkrz.de: /ut/k/k204097/EXP000/run010
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  • 75
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    IPCC-AR4 MPI-ECHAM5_T63L31 MPI-OM_GR1.5L40 SRESA1B run no.1: atmosphere 6 HOUR values MPImet/MaD Germany (2004)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The data represent 6 hourly values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk) The A1B scenario is the part of the A1 family which describes a balance across all energy sources. The experiment has been initialized in year 2000 of the 20C_1 run and continues until year 2100 with anthropogenic forcings (CO2, CH4, N2O, CFCs, O3 and sulfate) according to A1B. The experiment is extended until year 2200 with all concentrations fixed at their levels of year 2100 (stabilization experiment). Datasets with monthly average values are also available. Technical data to this experiment: The experiment is using ECHAM5.2.02a coupled to MPI-OM Vers. 1.0 GR1.5L40 and was run on a NEC-SX (hurrikan). The output from the model run: hurrikan.dkrz.de: /ut/k/k204098/EXP000/run012
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  • 76
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    IPCC-AR4 MPI-ECHAM5_T63L31 MPI-OM_GR1.5L40 SRESA2 run no.2: atmosphere 6 HOUR values MPImet/MaD Germany (2004)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The data represent 6 hourly values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk) The A2 scenario describes an economic development which is primarily regionally oriented and the technical change is more fragmented and slower than in the other SRES storylines. The experiment has been initialized in year 2000 of the 20C_2 run and continues until year 2100 with anthropogenic forcings (CO2, CH4, N2O, CFCs, O3 and sulfate) according to A2. Datasets with monthly average values are also available. Technical data to this experiment: The experiment is using ECHAM5.2.02a coupled to MPI-OM Vers. 1.0 GR1.5L40 and was run on a NEC-SX (hurrikan). The output from the model run: hurrikan.dkrz.de: /ut/k/k204096/EXP200/run225
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  • 77
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    IPCC-AR4 MPI-ECHAM5_T63L31 MPI-OM_GR1.5L40 SRESA2 run no.3: atmosphere 6 HOUR values MPImet/MaD Germany (2004)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The data represent 6 hourly values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk) The A2 scenario describes an economic development which is primarily regionally oriented and the technical change is more fragmented and slower than in the other SRES storylines. The experiment has been initialized in year 2000 of the 20C_3 run and continues until year 2100 with anthropogenic forcings (CO2, CH4, N2O, CFCs, O3 and sulfate) according to A2. Datasets with monthly average values are also available. Technical data to this experiment: The experiment is using ECHAM5.2.02a coupled to MPI-OM Vers. 1.0 GR1.5L40 and was run on a NEC-SX (hurrikan). The output from the model run: hurrikan.dkrz.de: /ut/k/k204097/EXP000/run016
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  • 78
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    IPCC-AR4 MPI-ECHAM5_T63L31 MPI-OM_GR1.5L40 1%/year CO2 increase experiment to quadrupling run no.1: atmosphere 6 HOUR values MPImet/MaD Germany (2004)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The data represent 6 hours values of a simulation of an annual increase of 1%,starting in 1931, until CO2 quadrupling. In the year 2001 the CO2 concentration were held constant. The simulation is a continuation of the 1CO2_2-run and was run on a NEC-SX6 (hurrikan), the output from the model run is stored in : hurrikan.dkrz.de:/ut/k/k204098/EXP000/run017 Datasets with monthly mean values are also available.
    Type: experiment
    Format: GRIB
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  • 79
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    IPCC-AR4 MPI-ECHAM5_T63L31 MPI-OM_GR1.5L40 1%/year CO2 increase experiment to quadrupling run no.1: atmosphere monthly mean values MPImet/MaD Germany (2004)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The data represent monthly avarage values of a simulation of an annual increase of 1%,starting in 1931, until CO2 quadrupling. In the year 2001 the CO2 concentration were held constant. The simulation is a continuation of the 1CO2_2-run and was run on a NEC-SX6 (hurrikan), the output from the model run is stored in : hurrikan.dkrz.de:/ut/k/k204098/EXP000/run017 Datasets with higher resolution (6 hour mean) are also available.
    Type: experiment
    Format: GRIB
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  • 80
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    IPCC-AR4 MPI-ECHAM5_T63L31 MPI-OM_GR1.5L40 SRESA2 run no.1: atmosphere monthly mean values MPImet/MaD Germany (2004)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The data represent monthly average values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk) The A2 scenario describes an economic development which is primarily regionally oriented and the technical change is more fragmented and slower than in the other SRES storylines. The experiment has been initialized in year 2000 of the 20C_1 run and continues until year 2100 with anthropogenic forcings (CO2, CH4, N2O, CFCs, O3 and sulfate) according to A2. Datasets with higher resolution (6 hourly) are also available. Technical data to this experiment: The experiment is using ECHAM5.2.02a coupled to MPI-OM Vers. 1.0 GR1.5L40 and was run on a NEC-SX (hurrikan). The output from the model run: hurrikan.dkrz.de: /ut/k/k204098/EXP000/run015
    Type: experiment
    Format: GRIB
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  • 81
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    IPCC-AR4 MPI-ECHAM5_T63L31 MPI-OM_GR1.5L40 SRESA2 run no.3: atmosphere monthly mean values MPImet/MaD Germany (2004)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The data represent monthly average values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk) The A2 scenario describes an economic development which is primarily regionally oriented and the technical change is more fragmented and slower than in the other SRES storylines. The experiment has been initialized in year 2000 of the 20C_3 run and continues until year 2100 with anthropogenic forcings (CO2, CH4, N2O, CFCs, O3 and sulfate) according to A2. Datasets with higher resolution (6 hourly) are also available. Technical data to this experiment: The experiment is using ECHAM5.2.02a coupled to MPI-OM Vers. 1.0 GR1.5L40 and was run on a NEC-SX (hurrikan). The output from the model run: hurrikan.dkrz.de: /ut/k/k204097/EXP000/run016
    Type: experiment
    Format: GRIB
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  • 82
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    IPCC-AR4 MPI-ECHAM5_T63L31 MPI-OM_GR1.5L40 PIcntrl(pre-industrial control experiment): atmosphere 6 HOUR values MPImet/MaD Germany (2005)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The data represent 6 hourly values of pre-industrial climate simulation. Here, for the year 1860, concentrations of well mixed greenhouse gases (CO2, CH4, N2O) were prescribed. Ocean data (MPI-OM) are available within this experiment, they are stored in EXTRA FORMAT. Datasets with monthly mean values are also available. As the boundary conditions are not time dependent, the time access is arbitrary. Technical data to this experiment: The experiment is using ECHAM5.2.02 coupled to MPI-OM Vers.1.0 GR1.5L40 and was run on a NEC-SX6(hurrikan). The output from the model run: hurrikan.dkrz.de:/ut/3/m214002/EXP500/run520
    Type: experiment
    Format: GRIB
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  • 83
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    IPCC-AR4 MPI-ECHAM5_T63L31 MPI-OM_GR1.5L40 SRESA2 run no.2: atmosphere monthly mean values MPImet/MaD Germany (2004)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The data represent monthly average values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk) The A2 scenario describes an economic development which is primarily regionally oriented and the technical change is more fragmented and slower than in the other SRES storylines. The experiment has been initialized in year 2000 of the 20C_2 run and continues until year 2100 with anthropogenic forcings (CO2, CH4, N2O, CFCs, O3 and sulfate) according to A2. Datasets with higher resolution (6 hourly) are also available. Technical data to this experiment: The experiment is using ECHAM5.2.02a coupled to MPI-OM Vers. 1.0 GR1.5L40 and was run on a NEC-SX (hurrikan). The output from the model run: hurrikan.dkrz.de: /ut/k/k204096/EXP200/run225
    Type: experiment
    Format: GRIB
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  • 84
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    IPCC-AR4 MPI-ECHAM5_T63L31 MPI-OM_GR1.5L40 PIcntrl(pre-industrial control experiment): atmosphere monthly mean values MPImet/MaD Germany (2005)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The data represent monthly average values of pre-industrial climate simulation. Here, for the year 1860, concentrations of well mixed greenhouse gases (CO2, CH4, N2O) were prescribed. Ocean data (MPI-OM) are available within this experiment, they are stored in EXTRA FORMAT. Datasets with higher resolution (6 hour mean) are also available. As the boundary conditions are not time dependent, the time access is arbitrary. Technical data to this experiment: The experiment is using ECHAM5.2.02 coupled to MPI-OM Vers.1.0 GR1.5L40 and was run on a NEC-SX6(hurrikan). The output from the model run: hurrikan.dkrz.de:/ut/3/m214002/EXP500/run520
    Type: experiment
    Format: GRIB
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  • 85
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    ECHOG_A16_LIG: Control Run for the Last Interglacial (Eemian, 125 kyrBP, DEKLIM-EEM project),monthly mean values (2006)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The purpose of the project DEKLIM-EEM is to reconstruct past interglacials based on proxy data and to understand the processes that are responsible for climatic changes during these interglacials by applying climate models. The data represent monthly average value of a simulation of the climate of the Last Interglacial (LIG) at 125000 years before present (Eemian). Boundary conditions are the same as in the preindustrial control run (ECHOG_A15_PRI), apart from the concentration of greenhouse gases and orbital parameters: Greenhouse gas concentrations are derived from vostok ice core data: 270ppmV CO2, 0.63 ppmV CH4 and 260 ppbV N2O. CFCs are set to zero. Orbital parameters have been calculated with the routine of Berger (1978): Eccentricity: 0.04; Obliquity: 23.79; Precession: 127.3. The simulation has been started with the Levitus ocean climatology. ECHO-G is used as climate model. It is a coupled atmosphere/ocean model (ECHAM4_T30 + HOPE-E_T42er). The simulation was run on a NEC-SX6 (hurrikan). Atmospheric data were originally stored by the model every 12 hours. Ocean data is stored every month. As the boundary conditions are not time dependent, the time access is arbitrary. Related experiments: - ECHOG_A40_LGI: control run, last glacial inception (End of the Eemian, 115 kyrBP, DEKLIM-EEM project), started with Levitus climatology, monthly mean values - ECHOG_A15_PRI preindustrial control run (ca. 1800 A.D., DEKLIM-EEM project), started with Levitus climatology, monthly mean values.
    Type: experiment
    Format: GRIB
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  • 86
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    dphase_arome: AROME +30hours forecasts run by Meteo-France CNRM/GAME for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: AROME (Application of Research to Operational at Meso-Scale) model is a new NWP system built in order to improve the forecast of mesoscale phenomena and extreme weather events (thunderstorms, mountain forecasts, coastal winds, immediate forecasts). It is planned to be used operationally by the end of 2008 over mainland France. With a 2.5 km horizontal grid mesh and a time step of 60s, this model is designed for short range forecasts. It merges research outcomes and operational progress : the physical package used is extracted from the Meso-NH research model and has been interfaced into the Non-Hydrostactic version of the ALADIN software. AROME also has its own mesoscale data assimilation system based on 3DVar with a 3hours RUC (Rapid Update Cycle). Physical parameterizations used in AROME are: -the ICE3 Meso-NH microphysical scheme with 5 prognostic species of condensed water. It contains 3 precipitating species (rain, snow and graupel) and 2 non precipitating ones (ice crystals and cloud droplets) -the Meso-NH 1D turbulence parameterization with Bougeault Lacarrere mixing lengths. -the externalized version of the Meso-NH detailed surface scheme -the operational ECMWF radiation code (called every 15 min). -the KFB (Kein-Fritsch Bechtold) shallow convection scheme is also switched on. We daily performed 30 hours forecasts with Non-Hydrostatic AROME 2.5 km model, starting from 00 TU. We ran with a time step of 60s over a domain of 400x320 points.AROME is coupled every 3 hours with ALADIN-France (ALADFR) 10km operational model. The post-processing in GRIB files is done on a regular LAT-LON Grid with a 0.025 degree resolution on a DPHASE domain (346x288 points), centered at 46.5N, 9.6E. This domain is smaller than the full DPHASE domain, and on the COPS domain (47-50 N, 6-11 E). Grid description: CDOM and DDOM:xinc/yinc:0.025 xnpole/ynpole:0.0 CDOM:xfirst:6.0 yfirst:47.0 xsize:202.0 ysize:122.0 DDOM:xfirst:5.2875 yfirst:42.9125 xsize:346.0 ysize:288.0
    Type: experiment
    Format: tar-File(s)
    Format: XML
    Format: GRIB1; records separated
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  • 87
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    dphase_cmcgemh: regional GEM model high resolution forecast run by CMC for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: For Map-D-PHASE the Canadian Meterological Centre (CMC) is running the Global Environmental Multiscale (GEM) model in limited-area mode. The model is run once-daily directly from operational GEM meso-global forecast data (grid spacing of 33 km). A pair of domains are used for the project with horizontal grid spacings of 15 km and 2.5 km. This inner (high resolution) grid is tightly centered on the MAP D-PHASE project region and is initialized at 0600 UTC from the CMCGEML run. Boundary conditions for the high resolution domain are updated at 15 minute intervals from the low resolution model output. The forecast timestep is 60 seconds and data is available at 15 minute intervals. No regional analysis or data assimilation cycle is undertaken during this project. All observational data will therefore be ingested only indrectly in the regional setup through the outer grid initialization and hourly boundary updates from the meso-global model. The GEM model is a semi-implicit, semi-Lagrangian, two time-level, non-hydrostatic model that runs in a wide variety of configurations. An updated version (v3.3.0) of the GEM model is being used for the MAP D-PHASE project in preparation for the Vancouver 2010 Olympic Games project. This version takes advantage of recent developments designed to enhance the quality of guidance over regions of steeply-sloping orography, including the addition of a 6-category bulk microphysics scheme and time-varying orography over the initialization period. For more information on -the GEM model dynamics: see Cote et al (1998) [Mon. Wea. Rev.]. -the model physics package: contact Recherche en Prevision Numerique for the related technical document by Mailhot. -the model's microphysics scheme: see Milbrandt and Yau (2007) [Mon. Wea. Rev.]. Grid description: CDOM and DDOM:xinc 0.03 yinc:0.02 xnpole/ynpole:0.0 CDOM:xfirst:6.0 yfirst:47.0 xsize:168.0 ysize:151.0 DDOM:xfirst:2.0 yfirst:43.0 xsize:535.0 ysize:351.0
    Type: experiment
    Format: XML
    Format: GRIB1; records separated
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  • 88
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    dphase_mm5_375: MM5 model 72h forecast (3.75km) run by FZK-IMK for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: 72h forecast with MM5 V3.7, nested run using - mm5_15 run as input - 3.75km x 3.75km resolution - 57 x 49 Grids - Noah land-surface scheme - MRF PBL - Grell cumulus scheme - Graupel (Reisner2) explicit moisture scheme - Cloud for atmospheric radiation Grid description: DDOM: xfirst: 10.207822 yfirst: 46.897579 xsize: 66.0 ysize: 48.0 xinc: 0.0005 yinc: 0.035 xnpole: 0.0 ynpole: 0.0
    Type: experiment
    Format: tar file, zipped
    Format: XML
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  • 89
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    dphase_lmk: LMK (COSMO-DE) high resolution model forecasts run by DWD for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: This experiment contains forecasts from the LMK (COSMO-DE) high resolution model of DWD (2.8km horizontal resoultion and 50 model levels). Model runs are started every 3h at 00, 03, 06, 09, 12, 15, 18 and 21 UTC with a forecast range of +18h. LMK (COSMO-DE) is an operational forecast model of DWD. Therefore, we adapted the output of the model as close as possible to the tigge+ list, but there are some differences; see dataset summaries. For a detailed description of the LMK (COSMO-DE) model, please contact the originator of the data. All datasets for COPS in the database have an output frequency of 15 minutes. If the variables are not provided by LMK (COSMO-DE) with an output frequency of 15 minutes then the hourly output has been linearily interpolated in time. LMK (COSMO-DE) provides only a subset of the TIGGE+ variables with an output frequency of 15 minutes. These are: Total precipitation (all types) (kg/m**2)acc_st011002TPT2 Precipitation: grid-scale only, rain (kg/m**2)acc_st102201SURF Precipitation: grid-scale only, snow (kg/m**2)acc_st079002SURF Precipitation: grid-scale only, graupel (kg/m**2)acc_st132201SURF Precipitation rate: grid-scale only, rain (kg/s/m**2)inst 100 201SURF Precipitation rate: grid-scale only, snow (kg/s/m**2)inst 100 201SURF Precipitation rate: grid-scale only, graupel (kg/s/m**2)inst 100 201SURF Total column water vapour (or precipitable water) (kg/m**2)inst054002SURF Total column cloud water (or cloud water) (kg/m**2)inst076002SURF Total column cloud ice (or cloud ice) (kg/m**2)inst058002SURF W-velocity (m/s)inst040002MUVW Grid descitption: CDOM: xfirst: -2.73 yfirst: -2.927 xsize: 135.0 ysize: 118.0 xinc: 0.025 yinc: 0.025 xnpole: -170.0 ynpole: 40.0 DDOM: xfirst: -5.882 yfirst: -6.685 xsize: 441.0 ysize: 279.0 xinc: 0.025 yinc: 0.025 xnpole: -170.0 ynpole: 40.0
    Type: experiment
    Format: tar-File(s)
    Format: tar file, zipped
    Format: XML
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  • 90
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    dphase_peps: SRNWP-PEPS ensemble forecasts run by DWD for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The SRNWP-PEPS consists of 21 different operational limited area models: Weather Service / Limited Area Model / Resolution [km] / Coupling Model / Forcast Period / Time Interval [h] / Main Run [UTC] Denmark HIRLAM 16 ECMWF +60h 1 0, 6, 12, 18 Finland HIRLAM 22 ECMWF +54h 1 0, 6, 12, 18 Ireland HIRLAM 16 ECMWF +48h 3 0, 6, 12, 18 Netherlands HIRLAM 22 ECMWF +48h 1 0, 6, 12, 18 Spain HIRLAM 18 ECMWF +48h 1 0, 6, 12, 18 Norway HIRLAM 22 ECMWF +30h 1 0, 12 Sweden I HIRLAM 11 ECMWF +48h 3 0, 6, 12, 18 Sweden II HIRLAM 22 ECMWF +48h 3 0, 6, 12, 18 Belgium ALADIN 15 ARPEGE +60h 1 0, 12 Austria ALADIN_A 9.6 ARPEGE +48h 1 0, 12 France ALADIN_F 11 ARPEGE +48h 3 0, 12 Croatia ALADIN_L 8.9 ARPEGE +48h 3 0, 12 Czech Rep. ALADIN_L 11 ARPEGE +48h 1 0, 12 Hungary ALADIN_L 11 ARPEGE +48h 1 0, 12 Slovakia ALADIN_L 11 ARPEGE +48h 3 0, 12 Slovenia ALADIN_L 9.5 ARPEGE +48h 3 0, 12 United Kingdom UKMO-LAM 12 UM global +48h 3 0, 6, 12, 18 Germany LME 7 GME +78h 1 0, 12 // Germany LME 7 GME +48h 1 6, 18 Switzerland aLMo 7 ECMWF +72h 1 0, 12 Italy EuroLM 7 EuroHRM +60h 3 0, 12 Poland LM 14 GME +72h 3 0, 12 The relation between these models and the numbers of the SRNWP PEPS ensemble is anonymous. The SRNWP-PEPS generates probability forecasts by interpreting the overlapping areas of the single forecasts as members of a local ensemble. Due to the different domains of the deterministic models the size of the ensemble depends on location. Hence the quality of the forecasted probability distributions varies over the PEPS domain. THE PLEV data set could not be provided for PEPS. Grid description: xsize,ysize,xinc, yinc differ for ensemble members (see datasets) CDOM: xfirst: 6.0 yfirst: 47.0 xnpole: 0.0 ynpole: 0.0 DDOM: xfirst: 2.0 yfirst: 43.0 xnpole: 0.0 ynpole: 0.0
    Type: experiment
    Format: tar-File(s)
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  • 91
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    Climate Simulation with CLM, Climate of the 20th Century run no.3, Data Stream 3: European region MPI-M/MaD (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The experiment CLM_C20_3_D3 contains European regional climate simulations of the years 1960-2000 on a regular geographical grid. The data are generated during post processing of the corresponding data stream 2 experiment (CLM_C20_3_D2) of regional climate model runs (CLM non hydrostatic, see http://www.clm-community.eu ). The simulations of the 20th century (1960-2000) have been forced by the third (_3_) run of the global 20th century climate (EH5-T63L31_OM-GR1.5L40_20C_3_6H) with observed anthropogenic forcing. In data stream 3 (_D3) the output variables of CLM data stream 2 and some additionally derived parameters are stored as time series on a regular grid with a horizontal spacing of 0.2 degree. The model parameters have been transformed onto the regular geographical grid by the CDO routines. Please note, that none of the variables has been corrected for topographical differences between the two grids. The model domain of data stream 3 covers the European region starting at 34.6/-10.6 (lat/lon, centre of lower left grid box) with an increment of 0.2 degree. The number of grid points is 177/238 (lat/lon). For some model variables and additionally derived parameters some statistics on daily, monthly or yearly basis are available. See also http://sga.wdc-climate.de for a list of available parameters. Please contact sga"at"dkrz.de for data request details. See http://sga.wdc-climate.de for more details on CLM simulations in the context of the BMBF funding priority "klimazwei", some useful information on handling climate model data and the data access regulations. The output format is netCDF Experiment with CLM 2.4.11 on NEC-SX6(hurrikan) raw data: hpss:/dxul/ut/k/k204095/prism/experiments/C20_3
    Type: experiment
    Format: NetCDF
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  • 92
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    dphase_lmita: COSMO-IT model forecasts run (2.8 km) by Italian Met. Service CNMCA for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The model is the very-high resolution operational implementation of COSMO model used by the Italian Met Service. The geographic area where the model is being run covers the entire italian pensinsula and major islands. The horizontal resolution is 2.8 km (0.025deg) with 50 vertical levels. The model is routinely run on the ECMWF computing resources once a day at 00Z with hourly output. The boundary conditions (BC) are interpolated from COSMO-ME forecast fields with 1 hour frequency update. Grid description: CDOM: xfirst: -2.6 yfirst: -10.65 xsize: 139.0 ysize: 110.0 xinc: 0.025 yinc: 0.025 xnpole: -170.0 ynpole: 32.5 DDOM: xfirst: -5.0 yfirst: -14.3 xsize: 449.0 ysize: 256.0 xinc: 0.025 yinc: 0.025 xnpole: -170.0 ynpole: 32.5
    Type: experiment
    Format: XML
    Format: GRIB1; records separated
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  • 93
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    dphase_mesonh2: Meso-NH forecasts (2km) run by University of Toulouse for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The horizontal grid spacing for MESONH is here 2 km. The domain size is 192 x 180 gridpoints covering the COPS area. The vertical grid has 50 levels up to 20 km with a grid length varying from 60 m close to the surface to 600 m at high altitude. The model was integrated forward for 30 hours every day starting from 00 UTC ECMWF analysis and keeping outputs every 15 minutes. More information is available at http://mesonh.aero.obs-mip.fr/mesonh/cops/ Grid description: CDOM: xfirst: 6.0 yfirst: 47.0 xsize: 251.0 ysize: 151.0 xinc: 0.02 yinc: 0.02 xnpole: 0.0 ynpole: 0.0
    Type: experiment
    Format: GRIB1; records separated
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  • 94
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    dphase_mesonh8: Meso-NH forecasts (8km) run by University of Toulouse for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The horizontal grid spacing is here 8 km. The domain size is 160 x 108 gridpoints covering the MAP D-PHASE domain. The vertical grid has 50 levels up to 20 km with a grid length varying from 60 m close to the surface to 600 m at high altitude. The model was integrated forward for 30 hours every day starting from 00 UTC ECMWF analysis and keeping outputs every 1 hour. More information is available at http://mesonh.aero.obs-mip.fr/mesonh/cops/ Grid description: DDOM: xfirst: 2.0 yfirst: 43.0 xsize: 201.0 ysize: 88.0 xinc: 0.08 yinc: 0.08 xnpole: 0.0 ynpole: 0.0
    Type: experiment
    Format: GRIB1; records separated
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  • 95
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    dphase_hbv: hydrological model HBV runoff forecasts in the Rhine basin run by FOEN for the MAP D-PHASE project (2008)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: FOEN is using the Flood Early Warning System (FEWS) with the hydrological model HBV for operational flood forecasts in the swiss part of the Rhine basin. With respect to MAP D-PHASE FEWS has been extended to use COSMOCH2, COCH7COR, CLEPS and PEPS. COSMOCH7 and ECMWF have been used already before for operational flood forecasting. Forecasts are issued normally during working days from Monday to Friday with t0 at 05 UTC. Updating of HBV up to time t0 (normally at 05 UTC) is done with meteorological data from MeteoSwiss (ANETZ, 1h resolution) and hydrological data from FOEN for 60 subbasins. After t0 HBV is driven by the meteorological models mentioned above. Forecasts for 12 selected hydrological stations are provided for MAP D-Phase. For MAP D-Phase, the model update of HBV based on meteorological station data is compared with an update driven by radar precipitation. The initial states for the hydrological forecasts are always based on the update driven by meteorological station data. Data providers: Observed meteorology (1h-resolution): MeteoSwiss (ANETZ data, Areal radar precipitation) CLEPS, COSMOCH2, COSMOCH7, COCH7COR and ECMWF: MeteoSwiss PEPS: DWD Observed discharge and waterstage (1h-resolution): Swiss Federal Office for Environment FOEN, Landesanstalt fuer Umwelt, Messungen und Naturschutz Baden-Wuerttemberg LUBW (for german tributaries), Abteilung Wasserwirtschaft Vorarlberg (for austrian tributaries) Basins: Aare-Brugg, Aare-Murgenthal, Emme-Emmenmatt, Kleine Emme-Littau, Limmat-Baden, Reuss-Mellingen, Rhein-Basel, Rhein-Diepoldsau, Rhein-Rekingen, Rhein-Rheinfelden, Thur-Andelfingen, Thur-Halden
    Type: experiment
    Format: tar-File(s)
    Format: XML
    Format: NetCDF
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  • 96
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    cops_ado_data: data from research aircraft DO-128 run by FZK/IMK-TRO during COPS 2007 (2009)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The research aircraft DO-128, call sign D-IBUF, of the IFF (TU Braunschweig) measures numerous meteorological and chemical variables to get a better understanding of the atmospheric processes which cause the development of precipitation. The aircraft starts from the Baden Airpark and flys among different flight pattern which are described in the flight protocols. The meteorological variables are static pressure and dynamic pressure at the nose boom, surface temperature, humidity mixing ratio by a lyman-alpha sensor, dewpoint temperature by a dewpoint-mirror, relative humidity by an aerodata-humicap, air temperature by a PT-100 sensor, vertical and horizontal wind components by a five-hole probe and GPS, turbulence (100 Hz), shortwave (pyranometer) and longwave (pyrgeometer) radiance in upper und lower half space. The chemical variables are mole fractions of ozone, carbon dioxide, carbon monoxide, nitrogen dioxide, nitrogen monoxide and nitric oxides (NOx). There are also a few variables for the position and the velocity of the aircraft stored in the data file. Additionally to the measurements by the aircraft, up to 30 drop-sondes can be dropped out of the aircraft. By using these sondes, vertical profiles of temperature, pressure, humidity and wind can be detected (see also the meta data describing the drop-sonde data). Special events are also marked in the data files by the event counter (e.g. dropping times of the drop-sondes, marks concerning the flight patterns etc.). The specific action or flight manoeuvre indicated by the event_number can be identified in the flight protocol.
    Type: dataset_group
    Format: netCDF.tar.gz
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  • 97
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    cops_nebt_ubn_flux: Eddy-covariance turbulence data from COPS energy balance and turbulence network station run by University of Bonn during COPS 2007 (2009)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The energy balance station run by University of Bonn measured high-frequency (10 Hz) eddy-covariance raw data with a CSAT3 (Campbell Scientific, Inc.) sonic anemometer and a LI-7500 (LI-COR Biosciences) hygrometer above the target land use type meadow. The measuring set-up was continuously running during the entire COPS measurement period in order to provide a complete time series of the turbulent fluxes of momentum, sensible and latent heat as well as carbon dioxide. Post-processing was performed using the software package TK2 (developed by the Department of Micrometeorology, University of Bayreuth) which produces quality assured turbulent flux data with an averaging interval of 30 min. The documentation and instruction manual of TK2 (see entry cops_nebt_ubt_info_1) and additional references about the applied flux corrections and post-field data quality control (see entry cops_nebt_ubt_info_2) as well as a document about the general handling of the flux data can be found in supplementary pdf-files within the energy balance and turbulence network (NEBT) experiment of the data base. The turbulent flux data in this data set are flagged according to their quality and checked for an impact of possible internal boundary layers. Additionally, the flux contribution from the target land use type intended to be observed to the total flux measured was calculated applying footprint modeling. Information and references about the internal boundary layer evaluation procedure and the footprint analysis are also given in additional info pdf-files. Pictures of the footprint climatology of the station as related to the land use and to the spatial distribution of the quality flags are included in the corresponding additional info pdf-file.
    Type: dataset_group
    Format: NetCDF
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  • 98
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    IPCC-DDC_CSIRO_SRES_B2: 140 YEARS MONTHLY MEANS Commenwealth Scientific and Industrial Research Organisation Australia (2001)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The SRES data sets were published by the IPCC in 2000 and classified into four different scenario families (A1, A2, B1, B2). SRES_B2 storyline describes a world in which the emphasis is on local solutions to economic, social and enviromental sustainability. The global population is increasing at a lower rate than A2. It has an intermediate level of economic development and a less rapid and more diverse technological change than in A1 and B1. The Mark 2 CSIRO coupled global climate model consists of the atmospheric component which has 9 vertical levels with an R21 horizontal resolution and the ocean component which was based on the GFDL code. M2CSIRO (http://www.cmar.csiro.au/e-print/open/hennessy_1998a.html#ccm ) The changes of anthropogenic emissions of CO2, CH4, N2O and sulphur dioxide are prescribed according to the above mentioned scenario.
    Type: experiment
    Format: GRIB
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  • 99
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    IPCC-DDC_CSIRO_SRES_A1FI: 140 YEARS MONTHLY MEANS Commenwealth Scientific and Industrial Research Organisation Australia (2001)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The SRES data sets were published by the IPCC in 2000 and classified into four different scenario families (A1, A2, B1, B2). SRES_A1 storyline describes a future world of very rapid economic growth, global population that peaks in mid-century and declines thereafter and the rapid introduction of new and more efficient technologies. It is distinguished by their technological emphasis: A1FI: fossil intensiv, A1T : non-fossil energy sources and A1B : a balance across all sources. The Mark 2 CSIRO coupled global climate model consists of the atmospheric component which has 9 vertical levels with a R21 horizontal resolution and the ocean component which was based on the GFDL code. Mark2_CSIRO (http://www.cmar.csiro.au/e-print/open/hennessy_1998a.html#ccm ) The changes of anthropogenic emissions of CO2, CH4, N2O and sulphur dioxide are prescribed according to the above mentioned scenario.
    Type: experiment
    Format: GRIB
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  • 100
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    cops_suph_rlidar: lidar data from rotational Raman Lidar run by UHOH during COPS 2007 (2009)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The files contain vertical profiles of temperature and particle backscatter coefficient at 355 nm measured with the Rotational Raman Lidar of University of Hohenheim (UHOH RRL) during COPS 2007. The UHOH RRL was located at Hornisgrinde (COPS Supersite H) with other instruments. The temporal resolution of the particle-backscatter-coefficient data is 10 s in June 2007 and 13 s in July and August 2007, respectively. The spatial resolution is 37.5 m. For the temperature data of this release, the temporal and spatial resolution of the data is 5 minutes and 37.5 m, respectively. Missing values were added for data containing clouds and exceeding statistical measurement uncertainties of 2 K. Scanning data, data with higher resolution, data of higher altitudes, or data of measurement days which are not published within this release are available on request. See pdf summary in entry 'cops_suph_rlidar_info_1' for further information.
    Type: dataset_group
    Format: NetCDF
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